Mechanical Systems and Signal Processing最新文献

英文中文

An improved chord measurement method for determining track irregularity thresholds on long-span high-speed railway bridges

IF 7.9 1区工程技术 Q1 ENGINEERING, MECHANICAL

Mechanical Systems and Signal Processing

Pub Date : 2025-02-27 DOI: 10.1016/j.ymssp.2025.112510

Ruoyu Li, Qinglie He, Xietang Wang, Shengyang Zhu, Wanming Zhai

Current static acceptance methods for track irregularities on high-speed long-span bridges primarily focus on middle-to-long wavelengths using a single-chord-length chord measurement method (CMM). This study aims to enhance the existing static acceptance methods and criteria for track irregularities on long-span bridges to ensure good running safety and ride comfort. First, a train-track-bridge coupled dynamics model is developed and validated, incorporating carbody flexibility to accurately predict ride comfort indices. Subsequently, the track irregularity evaluation method for long-span bridges was refined based on the existing CMM by integrating composite chord lengths and static bridge deformation. In this improved method, multiple chord lengths are simultaneously adopted to evaluate full-wavelength random track irregularities, while the static bridge deformation serves as an independent evaluative indicator which is excluded from the chord-measured deviation (CMD) of track irregularities. On this basis, using a 300-m main span bridge as a case study, extensive simulations were conducted with the developed coupled dynamics model to ascertain the limit values of CMD. Results indicate that, for this long-span bridge, an 80-m and a 5-m composite chord configuration is recommended, with lateral and vertical limits set at 8 mm and 1.7 mm, and 9 mm and 1.8 mm, respectively. Additionally, the vertical limit for the 80-m CMD should be reduced to 7 mm when bridge deformation exceeds 60 mm downward or 80 mm upward. This study provides a scientific basis for static acceptance standards of high-speed ballastless track on long-span bridges.

{"title":"An improved chord measurement method for determining track irregularity thresholds on long-span high-speed railway bridges","authors":"Ruoyu Li, Qinglie He, Xietang Wang, Shengyang Zhu, Wanming Zhai","doi":"10.1016/j.ymssp.2025.112510","DOIUrl":"10.1016/j.ymssp.2025.112510","url":null,"abstract":"<div><div>Current static acceptance methods for track irregularities on high-speed long-span bridges primarily focus on middle-to-long wavelengths using a single-chord-length chord measurement method (CMM). This study aims to enhance the existing static acceptance methods and criteria for track irregularities on long-span bridges to ensure good running safety and ride comfort. First, a train-track-bridge coupled dynamics model is developed and validated, incorporating carbody flexibility to accurately predict ride comfort indices. Subsequently, the track irregularity evaluation method for long-span bridges was refined based on the existing CMM by integrating composite chord lengths and static bridge deformation. In this improved method, multiple chord lengths are simultaneously adopted to evaluate full-wavelength random track irregularities, while the static bridge deformation serves as an independent evaluative indicator which is excluded from the chord-measured deviation (CMD) of track irregularities. On this basis, using a 300-m main span bridge as a case study, extensive simulations were conducted with the developed coupled dynamics model to ascertain the limit values of CMD. Results indicate that, for this long-span bridge, an 80-m and a 5-m composite chord configuration is recommended, with lateral and vertical limits set at 8 mm and 1.7 mm, and 9 mm and 1.8 mm, respectively. Additionally, the vertical limit for the 80-m CMD should be reduced to 7 mm when bridge deformation exceeds 60 mm downward or 80 mm upward. This study provides a scientific basis for static acceptance standards of high-speed ballastless track on long-span bridges.</div></div>","PeriodicalId":51124,"journal":{"name":"Mechanical Systems and Signal Processing","volume":"229 ","pages":"Article 112510"},"PeriodicalIF":7.9,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143508071","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Dynamic contact behavior of high-speed bearings in control moment gyroscope considering flexible rotor effect

IF 7.9 1区工程技术 Q1 ENGINEERING, MECHANICAL

Mechanical Systems and Signal Processing

Pub Date : 2025-02-27 DOI: 10.1016/j.ymssp.2025.112508

Jianghai Miao , Xing Tian , Wei Pu

The control moment gyroscope (CMG), which consists of a low-speed gimbal and a high-speed rotor, is a crucial attitude adjustment device for spacecraft. The dynamic response of the system and the characteristic behavior of the flexible rotor’s bearings interact to influence the CMG’s output performance. A CMG dynamics model that considers rotor flexibility, rotor-gimbal coupling effects, and bearing contact behavior is developed in this paper using the finite element method (FEM) and Lagrange method. Utilizing the bearing support stiffness matrix as a medium, a 5-DOF bearing contact analysis model is used to achieve the real-time coupling of CMG system dynamics and high-speed bearing contact characteristic analysis. Experimental verification confirms the model’s accuracy. The results show that the rotor’s flexibility modifies the radial forces and moments distribution, which impacts the bearings’ “load zones” and “non-load zones”. It causes larger variations in the contact pressure, contact angle and pitch angle. While a larger preload weakens this effect. This model will benefit bearing selection, CMG’s working condition design, and system output accuracy enhancement.

{"title":"Dynamic contact behavior of high-speed bearings in control moment gyroscope considering flexible rotor effect","authors":"Jianghai Miao , Xing Tian , Wei Pu","doi":"10.1016/j.ymssp.2025.112508","DOIUrl":"10.1016/j.ymssp.2025.112508","url":null,"abstract":"<div><div>The control moment gyroscope (CMG), which consists of a low-speed gimbal and a high-speed rotor, is a crucial attitude adjustment device for spacecraft. The dynamic response of the system and the characteristic behavior of the flexible rotor’s bearings interact to influence the CMG’s output performance. A CMG dynamics model that considers rotor flexibility, rotor-gimbal coupling effects, and bearing contact behavior is developed in this paper using the finite element method (FEM) and Lagrange method. Utilizing the bearing support stiffness matrix as a medium, a 5-DOF bearing contact analysis model is used to achieve the real-time coupling of CMG system dynamics and high-speed bearing contact characteristic analysis. Experimental verification confirms the model’s accuracy. The results show that the rotor’s flexibility modifies the radial forces and moments distribution, which impacts the bearings’ “load zones” and “non-load zones”. It causes larger variations in the contact pressure, contact angle and pitch angle. While a larger preload weakens this effect. This model will benefit bearing selection, CMG’s working condition design, and system output accuracy enhancement.</div></div>","PeriodicalId":51124,"journal":{"name":"Mechanical Systems and Signal Processing","volume":"229 ","pages":"Article 112508"},"PeriodicalIF":7.9,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143508068","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Selection of granular damper parameters to achieve optimum vibration attenuation on vibrating structures

IF 7.9 1区工程技术 Q1 ENGINEERING, MECHANICAL

Mechanical Systems and Signal Processing

Pub Date : 2025-02-27 DOI: 10.1016/j.ymssp.2025.112512

Furkan Terzioglu, Jem Athing Rongong

This study provides a compact understanding on the factors that influence the non-linear dissipative performance of granular dampers. The work focuses on the two main motion types within the damper: fluidisation and two-sided collective collision. This is accomplished by conducting experiments on a beam with an attached granular damper and by simulating the beam-damper system with a computationally efficient predictive model. The model is validated by comparing results with those from physical experiments. The results demonstrate that damper parameters affect the two motion types in different ways. Current knowledge of damper performance is explained with this view. Remaining uncertainties are investigated and explained using the experimental and numerical approaches. It is shown that the two types of behaviour can be optimised separately from each other, leading to the understanding that existing damper performance charts can be decomposed for damper-level modelling.

引用次数: 0

Design and implementation of the adaptive vibration control for bolted composite plates under variable loads

IF 7.9 1区工程技术 Q1 ENGINEERING, MECHANICAL

Mechanical Systems and Signal Processing

Pub Date : 2025-02-27 DOI: 10.1016/j.ymssp.2025.112496

Yu Zhang , Wei Sun , Hui Zhang , Hongwei Ma , Dongxu Du , Kunpeng Xu

Due to its excellent material properties, carbon fiber reinforced composites (CFRCs) have been widely used. However, in the face of vibration issues caused by external loads, it is crucial to effectively suppress vibrations to enhance the performance of composite thin-walled structures. To meet the adaptive vibration control requirements of composite thin-walled structures under variable loads, an innovative Filtered-x Least Mean Square (Fx-LMS) algorithm with adaptive step size adjustment capability is proposed in this paper. This algorithm aims to resolve the conflict between convergence speed and controller stability. By employing independent training signals for online identification, the algorithm can effectively adapt to the time-varying characteristics of variable loads. Moreover, Macro-Fiber Composite (MFC) is selected as the active control element, and an active control scheme with embedded MFC structural characteristics is designed for bolted composite plates, ensuring the active control capabilities while providing necessary protection for the MFC. Through numerical simulations and experimental validation, the results indicate that the improved Fx-LMS algorithm proposed in this paper exhibits good convergence speed, controller stability, and significant vibration suppression under variable loads and random disturbances. The vibration response after active control is reduced by more than 90%. The proposed control method and new structural design provide important guidance for improving the performance of similar structures.

{"title":"Design and implementation of the adaptive vibration control for bolted composite plates under variable loads","authors":"Yu Zhang , Wei Sun , Hui Zhang , Hongwei Ma , Dongxu Du , Kunpeng Xu","doi":"10.1016/j.ymssp.2025.112496","DOIUrl":"10.1016/j.ymssp.2025.112496","url":null,"abstract":"<div><div>Due to its excellent material properties, carbon fiber reinforced composites (CFRCs) have been widely used. However, in the face of vibration issues caused by external loads, it is crucial to effectively suppress vibrations to enhance the performance of composite thin-walled structures. To meet the adaptive vibration control requirements of composite thin-walled structures under variable loads, an innovative Filtered-x Least Mean Square (Fx-LMS) algorithm with adaptive step size adjustment capability is proposed in this paper. This algorithm aims to resolve the conflict between convergence speed and controller stability. By employing independent training signals for online identification, the algorithm can effectively adapt to the time-varying characteristics of variable loads. Moreover, Macro-Fiber Composite (MFC) is selected as the active control element, and an active control scheme with embedded MFC structural characteristics is designed for bolted composite plates, ensuring the active control capabilities while providing necessary protection for the MFC. Through numerical simulations and experimental validation, the results indicate that the improved Fx-LMS algorithm proposed in this paper exhibits good convergence speed, controller stability, and significant vibration suppression under variable loads and random disturbances. The vibration response after active control is reduced by more than 90%. The proposed control method and new structural design provide important guidance for improving the performance of similar structures.</div></div>","PeriodicalId":51124,"journal":{"name":"Mechanical Systems and Signal Processing","volume":"229 ","pages":"Article 112496"},"PeriodicalIF":7.9,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143508070","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Video Stabilization-Based elimination of unintended jitter and vibration amplification in centrifugal pumps

IF 7.9 1区工程技术 Q1 ENGINEERING, MECHANICAL

Mechanical Systems and Signal Processing

Pub Date : 2025-02-27 DOI: 10.1016/j.ymssp.2025.112500

Liang Dong , Lei Chen , Zhi-Cai Wu , Xing Zhang , Hou-Lin Liu , Cui Dai

To address challenges in non-contact visual sensing monitoring technology for large mechanical systems—specifically, video source instability due to camera jitter leading to measurement distortion, and the difficulty of directly observing small vibration amplitudes—we propose a method for eliminating unintended jitter and amplifying vibrations in centrifugal pumps based on SIFT-RANSAC-EPBVM. The method combines the Scale-Invariant Feature Transform (SIFT) algorithm with the Random Sample Consensus (RANSAC) algorithm to eliminate mismatched feature points. By establishing an affine transformation matrix between each video frame and the initial frame, feature points are mapped into the coordinate system of the initial frame. The Enhanced Phase-Based Video Motion (EPBVM) algorithm is then employed to amplify and display minute vibration signals, with computational complexity reduced by decreasing image size during the decomposition and reconstruction stages of the video frames. Experimental results demonstrate that the proposed method significantly improves the accuracy of vibration signal extraction: video matching accuracy increases from 92.15% to 100%, and the mean and standard deviation of the Difference of Inter-frame Transformation Fidelity (DITF) are reduced by 30%–40%. Additionally, notable improvements are observed in video amplification quality, processing time, and resistance to environmental noise.

{"title":"Video Stabilization-Based elimination of unintended jitter and vibration amplification in centrifugal pumps","authors":"Liang Dong , Lei Chen , Zhi-Cai Wu , Xing Zhang , Hou-Lin Liu , Cui Dai","doi":"10.1016/j.ymssp.2025.112500","DOIUrl":"10.1016/j.ymssp.2025.112500","url":null,"abstract":"<div><div>To address challenges in non-contact visual sensing monitoring technology for large mechanical systems—specifically, video source instability due to camera jitter leading to measurement distortion, and the difficulty of directly observing small vibration amplitudes—we propose a method for eliminating unintended jitter and amplifying vibrations in centrifugal pumps based on SIFT-RANSAC-EPBVM. The method combines the Scale-Invariant Feature Transform (SIFT) algorithm with the Random Sample Consensus (RANSAC) algorithm to eliminate mismatched feature points. By establishing an affine transformation matrix between each video frame and the initial frame, feature points are mapped into the coordinate system of the initial frame. The Enhanced Phase-Based Video Motion (EPBVM) algorithm is then employed to amplify and display minute vibration signals, with computational complexity reduced by decreasing image size during the decomposition and reconstruction stages of the video frames. Experimental results demonstrate that the proposed method significantly improves the accuracy of vibration signal extraction: video matching accuracy increases from 92.15% to 100%, and the mean and standard deviation of the Difference of Inter-frame Transformation Fidelity (DITF) are reduced by 30%–40%. Additionally, notable improvements are observed in video amplification quality, processing time, and resistance to environmental noise.</div></div>","PeriodicalId":51124,"journal":{"name":"Mechanical Systems and Signal Processing","volume":"229 ","pages":"Article 112500"},"PeriodicalIF":7.9,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143508069","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A survey on graph neural networks for remaining useful life prediction: Methodologies, evaluation and future trends

IF 7.9 1区工程技术 Q1 ENGINEERING, MECHANICAL

Mechanical Systems and Signal Processing

Pub Date : 2025-02-26 DOI: 10.1016/j.ymssp.2025.112449

Yucheng Wang , Min Wu , Xiaoli Li , Lihua Xie , Zhenghua Chen

Remaining Useful Life (RUL) prediction is a critical aspect of Prognostics and Health Management (PHM), aimed at predicting the future state of a system to enable timely maintenance and prevent unexpected failures. While existing deep learning methods have shown promise, they often struggle to fully leverage the spatial information inherent in complex systems, limiting their effectiveness in RUL prediction. To address this challenge, recent research has explored the use of Graph Neural Networks (GNNs) to model spatial information for more accurate RUL prediction. This paper presents a comprehensive review of GNN techniques applied to RUL prediction, summarizing existing methods and offering guidance for future research. We first propose a novel taxonomy based on the stages of adapting GNNs to RUL prediction, systematically categorizing approaches into four key stages: graph construction, graph modeling, graph information processing, and graph readout. By organizing the field in this way, we highlight the unique challenges and considerations at each stage of the GNN pipeline. Additionally, we conduct a thorough evaluation of various state-of-the-art (SOTA) GNN methods, ensuring consistent experimental settings for fair comparisons. This rigorous analysis yields valuable insights into the strengths and weaknesses of different approaches, serving as an experimental guide for researchers and practitioners working in this area. Finally, we identify and discuss several promising research directions that could further advance the field, emphasizing the potential for GNNs to revolutionize RUL prediction and enhance the effectiveness of PHM strategies. The benchmarking codes are available in GitHub: https://github.com/Frank-Wang-oss/GNN_RUL_Benchmarking.

{"title":"A survey on graph neural networks for remaining useful life prediction: Methodologies, evaluation and future trends","authors":"Yucheng Wang , Min Wu , Xiaoli Li , Lihua Xie , Zhenghua Chen","doi":"10.1016/j.ymssp.2025.112449","DOIUrl":"10.1016/j.ymssp.2025.112449","url":null,"abstract":"<div><div>Remaining Useful Life (RUL) prediction is a critical aspect of Prognostics and Health Management (PHM), aimed at predicting the future state of a system to enable timely maintenance and prevent unexpected failures. While existing deep learning methods have shown promise, they often struggle to fully leverage the spatial information inherent in complex systems, limiting their effectiveness in RUL prediction. To address this challenge, recent research has explored the use of Graph Neural Networks (GNNs) to model spatial information for more accurate RUL prediction. This paper presents a comprehensive review of GNN techniques applied to RUL prediction, summarizing existing methods and offering guidance for future research. We first propose a novel taxonomy based on the stages of adapting GNNs to RUL prediction, systematically categorizing approaches into four key stages: graph construction, graph modeling, graph information processing, and graph readout. By organizing the field in this way, we highlight the unique challenges and considerations at each stage of the GNN pipeline. Additionally, we conduct a thorough evaluation of various state-of-the-art (SOTA) GNN methods, ensuring consistent experimental settings for fair comparisons. This rigorous analysis yields valuable insights into the strengths and weaknesses of different approaches, serving as an experimental guide for researchers and practitioners working in this area. Finally, we identify and discuss several promising research directions that could further advance the field, emphasizing the potential for GNNs to revolutionize RUL prediction and enhance the effectiveness of PHM strategies. The benchmarking codes are available in GitHub: <span><span>https://github.com/Frank-Wang-oss/GNN_RUL_Benchmarking</span><svg><path></path></svg></span>.</div></div>","PeriodicalId":51124,"journal":{"name":"Mechanical Systems and Signal Processing","volume":"229 ","pages":"Article 112449"},"PeriodicalIF":7.9,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143508064","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A coupling analysis model for chatter prediction of thin-walled workpieces considering the effects of force-induced deflection and material removal

IF 7.9 1区工程技术 Q1 ENGINEERING, MECHANICAL

Mechanical Systems and Signal Processing

Pub Date : 2025-02-26 DOI: 10.1016/j.ymssp.2025.112474

Weida Lou , Guohua Qin , Weihong Zhang , Min Wan

In the milling process of thin-walled workpieces, the material removal can cause their changes in the dynamic parameters and stiffness of the workpiece. Moreover, the weak rigidity of the system itself can also lead to undesired force-induced deflection between the tool and workpiece which will deviate the actual radial depth of cut to from the nominal value. Therefore, it is necessary to consider the force-induced deflection and the variable of workpiece dynamic parameters in predicting accurately the milling stability. Firstly, a multi-point contact dynamic model is established for the flank milling of thin-walled workpieces. At every contact point, the improved calculation method of the tool-workpiece engagement angle is proposed by the force-induced deflection. It is more important that the influence of material removal on the workpiece stiffness is considered in the calculation of workpiece deflection. The elastic thin plate bending theory is first time adopted to efficiently calculate the workpiece deformation. Secondly, the finite element method is applied to deduce the stiffness and mass matrices of the elements and the whole structure. By modifying those of the corresponding elements along the feed path in the stiffness and mass matrices of the whole structure, a rapid approach to predict the time-varying dynamic parameters is proposed for the workpiece in the material removal process. Thirdly, in light of the predictor–corrector numerical solution theory of ordinary differential equations, the stability lobe diagram (SLD) prediction method is suggested to precisely analyze the milling chatter under the condition of the force-induced deflection and time-varying dynamic characteristics of the in-process workpiece (IPW). Finally, the milling experiment results indicate that the proposed method can be effectively used to predict the milling chatter in thin-walled workpieces. The 3D-SLD considering the force-induced deflection and time-varying dynamic characteristics of the IPW has the better prediction accuracy.

{"title":"A coupling analysis model for chatter prediction of thin-walled workpieces considering the effects of force-induced deflection and material removal","authors":"Weida Lou , Guohua Qin , Weihong Zhang , Min Wan","doi":"10.1016/j.ymssp.2025.112474","DOIUrl":"10.1016/j.ymssp.2025.112474","url":null,"abstract":"<div><div>In the milling process of thin-walled workpieces, the material removal can cause their changes in the dynamic parameters and stiffness of the workpiece. Moreover, the weak rigidity of the system itself can also lead to undesired force-induced deflection between the tool and workpiece which will deviate the actual radial depth of cut to from the nominal value. Therefore, it is necessary to consider the force-induced deflection and the variable of workpiece dynamic parameters in predicting accurately the milling stability. Firstly, a multi-point contact dynamic model is established for the flank milling of thin-walled workpieces. At every contact point, the improved calculation method of the tool-workpiece engagement angle is proposed by the force-induced deflection. It is more important that the influence of material removal on the workpiece stiffness is considered in the calculation of workpiece deflection. The elastic thin plate bending theory is first time adopted to efficiently calculate the workpiece deformation. Secondly, the finite element method is applied to deduce the stiffness and mass matrices of the elements and the whole structure. By modifying those of the corresponding elements along the feed path in the stiffness and mass matrices of the whole structure, a rapid approach to predict the time-varying dynamic parameters is proposed for the workpiece in the material removal process. Thirdly, in light of the predictor–corrector numerical solution theory of ordinary differential equations, the stability lobe diagram (SLD) prediction method is suggested to precisely analyze the milling chatter under the condition of the force-induced deflection and time-varying dynamic characteristics of the in-process workpiece (IPW). Finally, the milling experiment results indicate that the proposed method can be effectively used to predict the milling chatter in thin-walled workpieces. The 3D-SLD considering the force-induced deflection and time-varying dynamic characteristics of the IPW has the better prediction accuracy.</div></div>","PeriodicalId":51124,"journal":{"name":"Mechanical Systems and Signal Processing","volume":"229 ","pages":"Article 112474"},"PeriodicalIF":7.9,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143488143","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Design and analysis of a pseudo-active suspension

IF 7.9 1区工程技术 Q1 ENGINEERING, MECHANICAL

Mechanical Systems and Signal Processing

Pub Date : 2025-02-26 DOI: 10.1016/j.ymssp.2025.112502

Wuhan Qiu , Xianxu ’Frank’ Bai , Chengxi Li , Lijun Qian , Anding Zhu , Yunfei Wu

Compared with active suspensions, semi-active suspensions combine the advantages of low energy consumption and simple structure, but have relatively poor system performance. To improve the performance of semi-active suspensions, the general skyhook-groundhook hybrid strategy has been proposed, breaking the transfer function consolidation of semi-active suspensions under the traditional skyhook-groundhook hybrid control. However, the inherent limitations of the skyhook-groundhook hybrid control and semi-active suspensions result in poor optimization: suspensions under the general skyhook-groundhook hybrid control cannot truly achieve mechanical properties of connection with the sky and the ground. The lack of active control force in semi-active suspensions results in excessive limitations during the optimization process. This paper aims to combine the advantages of the active and semi-active suspension to design a new suspension with both high performance and low energy consumption. A body-on-frame structure is applied to redesign the mechanical network of the vehicle suspension, truly achieving the equivalent mechanical properties of the general skyhook-groundhook hybrid strategy. A mechanical compensation mechanism is used to design negative stiffness and damping mechanisms in the vehicle suspension, so that the partial impedance function of the suspension network can break through the constraint of “positive-real”. Then a new actuator with active mechanical properties − a pseudo-active actuator is designed based on the principle of mechanical compensation mechanism. This actuator consists of two semi-active actuators and a mechanical compensation mechanism. It can achieve four-quadrant controllable mechanical properties conditionally with semi-active actuators. Finally, a pseudo-active suspension was designed by combining the new suspension structure and a pseudo-active actuator. Through simulation and experimental verification, the performance of pseudo-active suspensions is significantly improved compared to that of semi-active suspensions and is similar to that of active suspensions.

{"title":"Design and analysis of a pseudo-active suspension","authors":"Wuhan Qiu , Xianxu ’Frank’ Bai , Chengxi Li , Lijun Qian , Anding Zhu , Yunfei Wu","doi":"10.1016/j.ymssp.2025.112502","DOIUrl":"10.1016/j.ymssp.2025.112502","url":null,"abstract":"<div><div>Compared with active suspensions, semi-active suspensions combine the advantages of low energy consumption and simple structure, but have relatively poor system performance. To improve the performance of semi-active suspensions, the general skyhook-groundhook hybrid strategy has been proposed, breaking the transfer function consolidation of semi-active suspensions under the traditional skyhook-groundhook hybrid control. However, the inherent limitations of the skyhook-groundhook hybrid control and semi-active suspensions result in poor optimization: suspensions under the general skyhook-groundhook hybrid control cannot truly achieve mechanical properties of connection with the sky and the ground. The lack of active control force in semi-active suspensions results in excessive limitations during the optimization process. This paper aims to combine the advantages of the active and semi-active suspension to design a new suspension with both high performance and low energy consumption. A body-on-frame structure is applied to redesign the mechanical network of the vehicle suspension, truly achieving the equivalent mechanical properties of the general skyhook-groundhook hybrid strategy. A mechanical compensation mechanism is used to design negative stiffness and damping mechanisms in the vehicle suspension, so that the partial impedance function of the suspension network can break through the constraint of “positive-real”. Then a new actuator with active mechanical properties − a pseudo-active actuator is designed based on the principle of mechanical compensation mechanism. This actuator consists of two semi-active actuators and a mechanical compensation mechanism. It can achieve four-quadrant controllable mechanical properties conditionally with semi-active actuators. Finally, a pseudo-active suspension was designed by combining the new suspension structure and a pseudo-active actuator. Through simulation and experimental verification, the performance of pseudo-active suspensions is significantly improved compared to that of semi-active suspensions and is similar to that of active suspensions.</div></div>","PeriodicalId":51124,"journal":{"name":"Mechanical Systems and Signal Processing","volume":"229 ","pages":"Article 112502"},"PeriodicalIF":7.9,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143488146","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A data-driven hybrid recurrent neural network and model-based framework for accurate impact force estimation

IF 7.9 1区工程技术 Q1 ENGINEERING, MECHANICAL

Mechanical Systems and Signal Processing

Pub Date : 2025-02-26 DOI: 10.1016/j.ymssp.2025.112503

Mohammad Bahmanpour , Hamed Kalhori , Bing Li

A novel hybrid deep learning technique is proposed, utilizing Recurrent Neural Networks (RNN) with four distinct sequential layers, designed to reconstruct unknown impact forces. The architecture integrates two interconnected sub-RNN structures, collectively referred to as IS-RNN, each consisting of the four-layer configuration. The first IS-RNN generates a transfer matrix, which serves as an input sequence for the second IS-RNN. To validate this approach, experiments were conducted using a rectangular carbon-fiber epoxy honeycomb composite panel, a structure commonly used in aerospace structures. A thorough analysis was performed, evaluating parameters such as signal length and solution methods. Comparative results between this technique and the Truncated Singular Value Decomposition (TSVD) method demonstrated strong alignment, with low percentage errors ranging from 1% to 2% when compared to actual impact forces. These findings highlight the proposed technique’s effectiveness and accuracy in impact force reconstruction.

引用次数: 0

Operation condition assessment for elevators under limited High-Quality label and Unbalanced data using feature alignment encoder GAN

IF 7.9 1区工程技术 Q1 ENGINEERING, MECHANICAL

Mechanical Systems and Signal Processing

Pub Date : 2025-02-26 DOI: 10.1016/j.ymssp.2025.112497

Dapeng Niu, Lei Guo, Mingxing Jia

As an important part of equipment prognostics and health management (PHM), condition evaluation plays a vital role in ensuring the safe operation of the elevator. However, in the actual condition assessment process, there are problems of insufficient label data and imbalance in data categories. So, it can bring significant resistance to the task of elevators’ condition assessment. To address this issue, this paper proposes a novel feature alignment encoder generative adversarial network with auxiliary classifier (AC-FAEGAN) for data augmentation (DA) and condition assessment. Firstly, the raw data is mapped by the encoder into hidden variables obeying a Gaussian distribution, and the generator is designed to implement data enhancement based on feature alignment. The improved discriminator and generator approximate the distribution of real data in an adversarial manner. The auxiliary classifier is trained with the generative model simultaneously. It functions in two ways, the first is to generate losses to constrain the generator, encouraging it to produce data that is closer to the original data. The second is to screen the generated intermediate data for fine-tuning to improve its generalization ability. Finally, the effectiveness and feasibility of the proposed method are verified by the elevator operation data. Meanwhile, different comparative and ablation experiments were carried out to validate the advancement and necessity of the proposed methodology. Compared to the state-of-the-art (SOTA) models, the proposed method shows optimal results.

{"title":"Operation condition assessment for elevators under limited High-Quality label and Unbalanced data using feature alignment encoder GAN","authors":"Dapeng Niu, Lei Guo, Mingxing Jia","doi":"10.1016/j.ymssp.2025.112497","DOIUrl":"10.1016/j.ymssp.2025.112497","url":null,"abstract":"<div><div>As an important part of equipment prognostics and health management (PHM), condition evaluation plays a vital role in ensuring the safe operation of the elevator. However, in the actual condition assessment process, there are problems of insufficient label data and imbalance in data categories. So, it can bring significant resistance to the task of elevators’ condition assessment. To address this issue, this paper proposes a novel feature alignment encoder generative adversarial network with auxiliary classifier (AC-FAEGAN) for data augmentation (DA) and condition assessment. Firstly, the raw data is mapped by the encoder into hidden variables obeying a Gaussian distribution, and the generator is designed to implement data enhancement based on feature alignment. The improved discriminator and generator approximate the distribution of real data in an adversarial manner. The auxiliary classifier is trained with the generative model simultaneously. It functions in two ways, the first is to generate losses to constrain the generator, encouraging it to produce data that is closer to the original data. The second is to screen the generated intermediate data for fine-tuning to improve its generalization ability. Finally, the effectiveness and feasibility of the proposed method are verified by the elevator operation data. Meanwhile, different comparative and ablation experiments were carried out to validate the advancement and necessity of the proposed methodology. Compared to the state-of-the-art (SOTA) models, the proposed method shows optimal results.</div></div>","PeriodicalId":51124,"journal":{"name":"Mechanical Systems and Signal Processing","volume":"229 ","pages":"Article 112497"},"PeriodicalIF":7.9,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143488144","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

首页上一页

下一页尾页

类型

全部化学•材料生命科学医学物理工程技术环境•农林材料科学地球科学法学管理学化学环境科学与生态学计算机科学教育学经济学农林科学人文科学生物学数学物理与天体物理心理学综合性期刊其他工业工程理学历史学农学文学信息工程

数据库

全部 ACS Publications Elsevier ieeexplore Springer The Royal Society of Chemistry Wiley

期刊

Mechanical Systems and Signal Processing

全部 Acc. Chem. Res. ACS Applied Bio Materials ACS Appl. Electron. Mater. ACS Appl. Energy Mater. ACS Appl. Mater. Interfaces ACS Appl. Nano Mater. ACS Appl. Polym. Mater. ACS BIOMATER-SCI ENG ACS Catal. ACS Cent. Sci. ACS Chem. Biol. ACS Chemical Health & Safety ACS Chem. Neurosci. ACS Comb. Sci. ACS Earth Space Chem. ACS Energy Lett. ACS Infect. Dis. ACS Macro Lett. ACS Mater. Lett. ACS Med. Chem. Lett. ACS Nano ACS Omega ACS Photonics ACS Sens. ACS Sustainable Chem. Eng. ACS Synth. Biol. Anal. Chem. BIOCHEMISTRY-US Bioconjugate Chem. BIOMACROMOLECULES Chem. Res. Toxicol. Chem. Rev. Chem. Mater. CRYST GROWTH DES ENERG FUEL Environ. Sci. Technol. Environ. Sci. Technol. Lett. Eur. J. Inorg. Chem. IND ENG CHEM RES Inorg. Chem. J. Agric. Food. Chem. J. Chem. Eng. Data J. Chem. Educ. J. Chem. Inf. Model. J. Chem. Theory Comput. J. Med. Chem. J. Nat. Prod. J PROTEOME RES J. Am. Chem. Soc. LANGMUIR MACROMOLECULES Mol. Pharmaceutics Nano Lett. Org. Lett. ORG PROCESS RES DEV ORGANOMETALLICS J. Org. Chem. J. Phys. Chem. J. Phys. Chem. A J. Phys. Chem. B J. Phys. Chem. C J. Phys. Chem. Lett. Analyst Anal. Methods Biomater. Sci. Catal. Sci. Technol. Chem. Commun. Chem. Soc. Rev. CHEM EDUC RES PRACT CRYSTENGCOMM Dalton Trans. Energy Environ. Sci. ENVIRON SCI-NANO ENVIRON SCI-PROC IMP ENVIRON SCI-WAT RES Faraday Discuss. Food Funct. Green Chem. Inorg. Chem. Front. Integr. Biol. J. Anal. At. Spectrom. J. Mater. Chem. A J. Mater. Chem. B J. Mater. Chem. C Lab Chip Mater. Chem. Front. Mater. Horiz. MEDCHEMCOMM Metallomics Mol. Biosyst. Mol. Syst. Des. Eng. Nanoscale Nanoscale Horiz. Nat. Prod. Rep. New J. Chem. Org. Biomol. Chem. Org. Chem. Front. PHOTOCH PHOTOBIO SCI PCCP Polym. Chem.

﹀