Pub Date : 2025-02-28DOI: 10.1016/j.ymssp.2025.112521
Yulin Liao , Donghong Ning , Haiping Du
This research introduces a novel Infinite Horizon One-Step Model Predictive Control (IHOS-MPC) algorithm with linearised constraints, specifically designed for semi-active Electrically Interconnected Suspension (EIS) systems to enhance vehicle dynamics and comfort. The proposed control approach combines an infinite predictive horizon with a control horizon of one, significantly reducing computational complexity while maintaining efficient, real-time control performance. By integrating linearised constraints, the algorithm operates within feasible limits, minimizing computational overhead without compromising control quality. The EIS system employs electromagnetic dampers consisting of direct current motors, allowing real-time adjustments to optimise damping forces and address both vertical and roll dynamics of the vehicle. Experimental validation demonstrates that the system effectively handles various road conditions, achieving notable improvements in ride comfort and stability. This study establishes the practicality and effectiveness of the IHOS-MPC with linearised constraints in real-world applications, offering a compelling solution for advancing semi-active suspension systems in modern vehicles.
{"title":"Infinite horizon one-step MPC with linearised constraints for electrically interconnected suspension system","authors":"Yulin Liao , Donghong Ning , Haiping Du","doi":"10.1016/j.ymssp.2025.112521","DOIUrl":"10.1016/j.ymssp.2025.112521","url":null,"abstract":"<div><div>This research introduces a novel Infinite Horizon One-Step Model Predictive Control (IHOS-MPC) algorithm with linearised constraints, specifically designed for semi-active Electrically Interconnected Suspension (EIS) systems to enhance vehicle dynamics and comfort. The proposed control approach combines an infinite predictive horizon with a control horizon of one, significantly reducing computational complexity while maintaining efficient, real-time control performance. By integrating linearised constraints, the algorithm operates within feasible limits, minimizing computational overhead without compromising control quality. The EIS system employs electromagnetic dampers consisting of direct current motors, allowing real-time adjustments to optimise damping forces and address both vertical and roll dynamics of the vehicle. Experimental validation demonstrates that the system effectively handles various road conditions, achieving notable improvements in ride comfort and stability. This study establishes the practicality and effectiveness of the IHOS-MPC with linearised constraints in real-world applications, offering a compelling solution for advancing semi-active suspension systems in modern vehicles.</div></div>","PeriodicalId":51124,"journal":{"name":"Mechanical Systems and Signal Processing","volume":"229 ","pages":"Article 112521"},"PeriodicalIF":7.9,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143512102","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}
Pub Date : 2025-02-28DOI: 10.1016/j.ymssp.2025.112520
Yangkun Zou , Jiande Wu , Bo Ye , Linsong Yuan , Changchun Yang
Lamb waves have been established as a reliable choice for identifying fatigue damage in carbon fiber-reinforced polymer (CFRP). In practice, Lamb wave signals are collected under both non-fatigue and fatigue loading conditions, which significantly affects the propagation of Lamb wave. Furthermore, the signal variations caused by the above two operating conditions resemble those induced by fatigue damage. These changes are mainly reflected in amplitude variations and phase shift, which complicates the accurate identification of fatigue damage states under varying loads. This paper aims to eliminate the interference of loading conditions through domain adaptation, while simultaneously identifying the fatigue damage states using sparse representation. We presented and verified an integrative bidirectionally transformed subspace cross-domain sparse representation method. In order to enhance interference elimination, signals from different loading conditions are bidirectionally transformed into a common subspace. This transformation allows for a broader adjustment range, and further minimizes the domain discrepancy. To improve the damage identification performance, we extract signal features within the subspace using sparse representation and incorporate a linear classification module. The variables for domain adaptation, sparse representation, and linear classification module, are solved in two distinct optimization steps. The robust relationship between domain adaptation and classification enhances the overall damage identification performance. The proposed method is formulated as a constrained optimization problem, and the corresponding solution strategy is precisely derived. In order to validate the proposed method, extensive experiments were conducted using NASA-published CFRP dataset. The results demonstrate that the proposed method effectively eliminates the interference of loading conditions, achieving an average damage identification accuracy of 86.57%. This outperforms other state-of-the-art models and demonstrates excellent robustness.
{"title":"Bidirectionally transformed subspace cross-domain sparse representation for CFRP fatigue damage identification under different operating conditions","authors":"Yangkun Zou , Jiande Wu , Bo Ye , Linsong Yuan , Changchun Yang","doi":"10.1016/j.ymssp.2025.112520","DOIUrl":"10.1016/j.ymssp.2025.112520","url":null,"abstract":"<div><div>Lamb waves have been established as a reliable choice for identifying fatigue damage in carbon fiber-reinforced polymer (CFRP). In practice, Lamb wave signals are collected under both non-fatigue and fatigue loading conditions, which significantly affects the propagation of Lamb wave. Furthermore, the signal variations caused by the above two operating conditions resemble those induced by fatigue damage. These changes are mainly reflected in amplitude variations and phase shift, which complicates the accurate identification of fatigue damage states under varying loads. This paper aims to eliminate the interference of loading conditions through domain adaptation, while simultaneously identifying the fatigue damage states using sparse representation. We presented and verified an integrative bidirectionally transformed subspace cross-domain sparse representation method. In order to enhance interference elimination, signals from different loading conditions are bidirectionally transformed into a common subspace. This transformation allows for a broader adjustment range, and further minimizes the domain discrepancy. To improve the damage identification performance, we extract signal features within the subspace using sparse representation and incorporate a linear classification module. The variables for domain adaptation, sparse representation, and linear classification module, are solved in two distinct optimization steps. The robust relationship between domain adaptation and classification enhances the overall damage identification performance. The proposed method is formulated as a constrained optimization problem, and the corresponding solution strategy is precisely derived. In order to validate the proposed method, extensive experiments were conducted using NASA-published CFRP dataset. The results demonstrate that the proposed method effectively eliminates the interference of loading conditions, achieving an average damage identification accuracy of 86.57%. This outperforms other state-of-the-art models and demonstrates excellent robustness.</div></div>","PeriodicalId":51124,"journal":{"name":"Mechanical Systems and Signal Processing","volume":"229 ","pages":"Article 112520"},"PeriodicalIF":7.9,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143512103","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}
Pub Date : 2025-02-28DOI: 10.1016/j.ymssp.2025.112514
Yang Yang , Zhao-Dong Xu , Xing-Huai Huang , Pei-Pei Liu , Jun Dai , Ye Shou Xu , Yao-Rong Dong , Yang Zhang
For irregular structures with spatial torsional vibrations, the application of multiple magnetorheological (MR) dampers has been proven to be an effective way of vibration control. In control systems equipped with numerous MR dampers, a critical issue is optimizing the layout of these dampers to achieve the optimal control objectives at minimal cost. Moreover, the micro-parameters of MR fluid and the macro-parameters of MR dampers significantly influence the damping effect of the control system. Consequently, it is imperative to concurrently optimize these cross-scale parameters within the MR control system. Addressing these issues, this study aims to optimize the MR damped structure in cross scales for the mitigation of torsional vibrations in spatial irregular structures, ensuring balanced vibration mitigation while minimizing the economic cost of the MR damping system. Based on the multi-factor mathematical model of MR dampers proposed in previous research, a joint simulation platform combining OpenSEES and Matlab was established. Utilizing the OpenSEES-Matlab platform and the genetic algorithm, a cross-scale integrated optimization method of the micro-parameters of the MR fluid, the size parameters of the MR dampers, as well as their layout was proposed. The efficacy and effectiveness of the proposed cross-scale integrated optimization method were validated through comparisons of experimental results of the MR fluid and MR dampers before and after optimization, and the numerical simulation results of the MR damped structure. This study provides an effective integrated optimization method for the application of MR damping systems in structural vibration control, particularly for the control of torsional vibrations in spatial irregular structures.
{"title":"Cross-scale integrated optimization of control system with multiple MR dampers for spatial torsional vibration mitigation","authors":"Yang Yang , Zhao-Dong Xu , Xing-Huai Huang , Pei-Pei Liu , Jun Dai , Ye Shou Xu , Yao-Rong Dong , Yang Zhang","doi":"10.1016/j.ymssp.2025.112514","DOIUrl":"10.1016/j.ymssp.2025.112514","url":null,"abstract":"<div><div>For irregular structures with spatial torsional vibrations, the application of multiple magnetorheological (MR) dampers has been proven to be an effective way of vibration control. In control systems equipped with numerous MR dampers, a critical issue is optimizing the layout of these dampers to achieve the optimal control objectives at minimal cost. Moreover, the micro-parameters of MR fluid and the macro-parameters of MR dampers significantly influence the damping effect of the control system. Consequently, it is imperative to concurrently optimize these cross-scale parameters within the MR control system. Addressing these issues, this study aims to optimize the MR damped structure in cross scales for the mitigation of torsional vibrations in spatial irregular structures, ensuring balanced vibration mitigation while minimizing the economic cost of the MR damping system. Based on the multi-factor mathematical model of MR dampers proposed in previous research, a joint simulation platform combining OpenSEES and Matlab was established. Utilizing the OpenSEES-Matlab platform and the genetic algorithm, a cross-scale integrated optimization method of the micro-parameters of the MR fluid, the size parameters of the MR dampers, as well as their layout was proposed. The efficacy and effectiveness of the proposed cross-scale integrated optimization method were validated through comparisons of experimental results of the MR fluid and MR dampers before and after optimization, and the numerical simulation results of the MR damped structure. This study provides an effective integrated optimization method for the application of MR damping systems in structural vibration control, particularly for the control of torsional vibrations in spatial irregular structures.</div></div>","PeriodicalId":51124,"journal":{"name":"Mechanical Systems and Signal Processing","volume":"229 ","pages":"Article 112514"},"PeriodicalIF":7.9,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143512105","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}
Pub Date : 2025-02-28DOI: 10.1016/j.ymssp.2025.112485
Yuanjin Zhang , Shujin Li , Zixiang Zhu , Vasileios C. Fragkoulis
In this paper, an approximate analytical method is proposed to determine the response of nonlinear oscillators with fractional derivative elements subjected to combined periodic and evolutionary stochastic excitations. This is done by combining a memory-free formulation with a linearization framework to treat both the nonlinearity and the fractional derivative elements of the system. Specifically, assuming that the system response is written as the sum of a periodic and a stochastic components, the system governing equation of motion is equivalently cast into a corresponding set of a nonlinear fractional deterministic differential sub-equation and a nonlinear fractional stochastic differential sub-equation. The fractional deterministic sub-equation is subsequently transformed into a set of coupled linear equations with integer-order derivatives solely, by relying on the memory-free formulation. On the other hand, a combination of the statistical linearization and the stochastic averaging methods is employed to treat the nonlinear fractional stochastic sub-equation subjected to the evolutionary excitation. Finally, the oscillator response displacement consisting of the mean and the variance of the periodic and the stochastic response components, respectively, is obtained by solving simultaneously the set of equations derived by applying the memory-free formulation and linearization treatments. The proposed framework can treat nonlinear oscillators with fractional derivative elements subjected to combined periodic and non-stationary stochastic excitations characterized by arbitrary evolutionary power spectrum forms, even of the non-separable kind. Its accuracy and effectiveness are demonstrated by numerical examples pertaining to nonlinear oscillators with fractional derivative elements subjected to periodic and stochastic excitation described by both separable and non-separable power spectrum forms, while Monte Carlo simulation data are also used for comparison.
{"title":"Approximate response determination of nonlinear oscillators with fractional derivative elements subjected to combined periodic and evolutionary stochastic excitations","authors":"Yuanjin Zhang , Shujin Li , Zixiang Zhu , Vasileios C. Fragkoulis","doi":"10.1016/j.ymssp.2025.112485","DOIUrl":"10.1016/j.ymssp.2025.112485","url":null,"abstract":"<div><div>In this paper, an approximate analytical method is proposed to determine the response of nonlinear oscillators with fractional derivative elements subjected to combined periodic and evolutionary stochastic excitations. This is done by combining a memory-free formulation with a linearization framework to treat both the nonlinearity and the fractional derivative elements of the system. Specifically, assuming that the system response is written as the sum of a periodic and a stochastic components, the system governing equation of motion is equivalently cast into a corresponding set of a nonlinear fractional deterministic differential sub-equation and a nonlinear fractional stochastic differential sub-equation. The fractional deterministic sub-equation is subsequently transformed into a set of coupled linear equations with integer-order derivatives solely, by relying on the memory-free formulation. On the other hand, a combination of the statistical linearization and the stochastic averaging methods is employed to treat the nonlinear fractional stochastic sub-equation subjected to the evolutionary excitation. Finally, the oscillator response displacement consisting of the mean and the variance of the periodic and the stochastic response components, respectively, is obtained by solving simultaneously the set of equations derived by applying the memory-free formulation and linearization treatments. The proposed framework can treat nonlinear oscillators with fractional derivative elements subjected to combined periodic and non-stationary stochastic excitations characterized by arbitrary evolutionary power spectrum forms, even of the non-separable kind. Its accuracy and effectiveness are demonstrated by numerical examples pertaining to nonlinear oscillators with fractional derivative elements subjected to periodic and stochastic excitation described by both separable and non-separable power spectrum forms, while Monte Carlo simulation data are also used for comparison.</div></div>","PeriodicalId":51124,"journal":{"name":"Mechanical Systems and Signal Processing","volume":"229 ","pages":"Article 112485"},"PeriodicalIF":7.9,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143512104","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}
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}
Pub Date : 2025-02-27DOI: 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}
Pub Date : 2025-02-27DOI: 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.
{"title":"Selection of granular damper parameters to achieve optimum vibration attenuation on vibrating structures","authors":"Furkan Terzioglu, Jem Athing Rongong","doi":"10.1016/j.ymssp.2025.112512","DOIUrl":"10.1016/j.ymssp.2025.112512","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":51124,"journal":{"name":"Mechanical Systems and Signal Processing","volume":"229 ","pages":"Article 112512"},"PeriodicalIF":7.9,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143508062","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}
Pub Date : 2025-02-27DOI: 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}
Pub Date : 2025-02-27DOI: 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}
Pub Date : 2025-02-26DOI: 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.
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