Pub Date : 2024-08-28DOI: 10.1177/10775463241276022
Hanxuan Wang, Kaiping Yu, Rui Zhao, Minqiang Xu
Typically, when subjected to excessive external force, quasi-zero-stiffness isolators with low damping will cause a sharp rightward bending of the transmissibility curve, resulting in a substantial decline in the performance of vibration isolation. The scheme with parallel tunable nonlinear inertia (PTNI) based on the triple-spring quasi-zero-stiffness (TS-QZS) isolator is designed to solve the above problems. To begin with, the kinetic equations are derived. Subsequently, the analysis of the primary response and stability involved the utilization of the Harmonic Balance Method (HBM), and the accuracy of the model was validated through numerical calculations. Finally, the impact of essential parameters is examined. The findings suggest that the QZS-PTNI isolator, without compromising the high frequency transmissibility, is capable of reducing peaks, suppressing the rightward trend of the transmissibility curve, narrowing the range of jump-up and jump-down frequency, and enhancing the vibration isolation performance.
{"title":"Study on the effect of nonlinear inertia on the vibration isolation performance of quasi-zero-stiffness isolators","authors":"Hanxuan Wang, Kaiping Yu, Rui Zhao, Minqiang Xu","doi":"10.1177/10775463241276022","DOIUrl":"https://doi.org/10.1177/10775463241276022","url":null,"abstract":"Typically, when subjected to excessive external force, quasi-zero-stiffness isolators with low damping will cause a sharp rightward bending of the transmissibility curve, resulting in a substantial decline in the performance of vibration isolation. The scheme with parallel tunable nonlinear inertia (PTNI) based on the triple-spring quasi-zero-stiffness (TS-QZS) isolator is designed to solve the above problems. To begin with, the kinetic equations are derived. Subsequently, the analysis of the primary response and stability involved the utilization of the Harmonic Balance Method (HBM), and the accuracy of the model was validated through numerical calculations. Finally, the impact of essential parameters is examined. The findings suggest that the QZS-PTNI isolator, without compromising the high frequency transmissibility, is capable of reducing peaks, suppressing the rightward trend of the transmissibility curve, narrowing the range of jump-up and jump-down frequency, and enhancing the vibration isolation performance.","PeriodicalId":17511,"journal":{"name":"Journal of Vibration and Control","volume":"1 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142208081","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 : 2024-08-26DOI: 10.1177/10775463241272890
Maryam Kazerooni, Marzieh Moradi Dalini
This paper focuses the development of an adaptive observer-based distributed fault estimation observer (DFEO) for multi-agent nonlinear time-delay systems under a directed communication topology. The process involves constructing a fault estimation observer for each agent based on their relative output estimation errors. An adaptive DFEO design is proposed for multi-agent systems with a directed communication topology. Furthermore, investigating the effect of faulty agents on the criteria of fault detection on healthy agents. The proposed design is represented with Linear Matrix Inequalities (LMIs) to establish a systematic design procedure. The study also includes simulation results to demonstrate the effectiveness of the proposed design techniques.
{"title":"Adaptive distributed fault estimation observer design for nonlinear time-delay multi-agent systems with directed graphs","authors":"Maryam Kazerooni, Marzieh Moradi Dalini","doi":"10.1177/10775463241272890","DOIUrl":"https://doi.org/10.1177/10775463241272890","url":null,"abstract":"This paper focuses the development of an adaptive observer-based distributed fault estimation observer (DFEO) for multi-agent nonlinear time-delay systems under a directed communication topology. The process involves constructing a fault estimation observer for each agent based on their relative output estimation errors. An adaptive DFEO design is proposed for multi-agent systems with a directed communication topology. Furthermore, investigating the effect of faulty agents on the criteria of fault detection on healthy agents. The proposed design is represented with Linear Matrix Inequalities (LMIs) to establish a systematic design procedure. The study also includes simulation results to demonstrate the effectiveness of the proposed design techniques.","PeriodicalId":17511,"journal":{"name":"Journal of Vibration and Control","volume":"22 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142208085","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 : 2024-08-26DOI: 10.1177/10775463241276024
Zhihui Men, Yonghua Li, Wuchu Tang, Denglong Wang, Jiahong Cao
To align with the evolving trends in intelligent railway wagon operation and maintenance and to enhance the precision of railway wagon bearing fault diagnosis, this paper introduces a novel method for bearing fault diagnosis. The method comprises two key innovations. Firstly, a multi-modal time series transformation method is proposed. This method extracts time series data from the original time domain signals via self-adaptive ensemble empirical mode decomposition with adaptive noise, transforms them into 2D matrices, and captures inter- and intra-period information relationships through convolution. Secondly, a multi-scale convolutional attention network is introduced, enriching fault information by utilizing parallel multi-scale convolution for down-sampling. To prevent feature loss, sliding convolution is adopted instead of pooling. Additionally, the model incorporates the convolutional block attention module to focus on critical information. Experimental validation conducted in a laboratory using a self-developed railway wagon bearing dynamic performance tester demonstrates high diagnostic accuracy and strong overall performance. The method’s generalizability is further confirmed through validation using publicly available datasets. This method could find practical use in railway maintenance, improving the accuracy of bearing fault diagnosis, and making operations more efficient.
{"title":"A new multi-modal time series transformation method and multi-scale convolutional attention network for railway wagon bearing fault diagnosis","authors":"Zhihui Men, Yonghua Li, Wuchu Tang, Denglong Wang, Jiahong Cao","doi":"10.1177/10775463241276024","DOIUrl":"https://doi.org/10.1177/10775463241276024","url":null,"abstract":"To align with the evolving trends in intelligent railway wagon operation and maintenance and to enhance the precision of railway wagon bearing fault diagnosis, this paper introduces a novel method for bearing fault diagnosis. The method comprises two key innovations. Firstly, a multi-modal time series transformation method is proposed. This method extracts time series data from the original time domain signals via self-adaptive ensemble empirical mode decomposition with adaptive noise, transforms them into 2D matrices, and captures inter- and intra-period information relationships through convolution. Secondly, a multi-scale convolutional attention network is introduced, enriching fault information by utilizing parallel multi-scale convolution for down-sampling. To prevent feature loss, sliding convolution is adopted instead of pooling. Additionally, the model incorporates the convolutional block attention module to focus on critical information. Experimental validation conducted in a laboratory using a self-developed railway wagon bearing dynamic performance tester demonstrates high diagnostic accuracy and strong overall performance. The method’s generalizability is further confirmed through validation using publicly available datasets. This method could find practical use in railway maintenance, improving the accuracy of bearing fault diagnosis, and making operations more efficient.","PeriodicalId":17511,"journal":{"name":"Journal of Vibration and Control","volume":"11 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142208084","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 : 2024-08-26DOI: 10.1177/10775463241272945
Chikun Gong, Honglei Fang, Lipeng Yuan, Na Zhang
This work aims to address the issues of instability in trot gait walking and poor terrain adaptability in rugged environments under conventional control strategies for quadruped robots by proposing a novel composite control strategy. During the support phase, a separated force-position mixing control method is employed, utilizing gravity-compensated PD (Proportional Derivative) control at the lateral swing and knee joints while employing position control at the hip joint. During the swing phase, VMC (Virtual Model Control) is used to construct three sets of virtual spring-damper components, guiding the foot to move along a predetermined trajectory and converting virtual forces into joint torques for the swinging leg. At the body, IMU (Inertial Measurement Unit) feedback data combined with PI (Proportional Integral) control is used to adjust leg length and maintain the robot’s posture stability. Finally, the proposed separated force-position hybrid control method is theoretically validated using the Lyapunov stability criterion, and simulation tests on flat and rugged terrains under the quadruped robot’s composite control method are conducted using MATLAB/Simulink, comparing it with the VMC and position control methods. The findings indicate that the composite control strategy leads to smaller changes in the attitude angles and reduced impact forces at the feet during the quadruped robot’s walk on flat ground while also demonstrating strong adaptability to rugged terrains.
{"title":"A composite motion control method for quadruped robots in trot gait","authors":"Chikun Gong, Honglei Fang, Lipeng Yuan, Na Zhang","doi":"10.1177/10775463241272945","DOIUrl":"https://doi.org/10.1177/10775463241272945","url":null,"abstract":"This work aims to address the issues of instability in trot gait walking and poor terrain adaptability in rugged environments under conventional control strategies for quadruped robots by proposing a novel composite control strategy. During the support phase, a separated force-position mixing control method is employed, utilizing gravity-compensated PD (Proportional Derivative) control at the lateral swing and knee joints while employing position control at the hip joint. During the swing phase, VMC (Virtual Model Control) is used to construct three sets of virtual spring-damper components, guiding the foot to move along a predetermined trajectory and converting virtual forces into joint torques for the swinging leg. At the body, IMU (Inertial Measurement Unit) feedback data combined with PI (Proportional Integral) control is used to adjust leg length and maintain the robot’s posture stability. Finally, the proposed separated force-position hybrid control method is theoretically validated using the Lyapunov stability criterion, and simulation tests on flat and rugged terrains under the quadruped robot’s composite control method are conducted using MATLAB/Simulink, comparing it with the VMC and position control methods. The findings indicate that the composite control strategy leads to smaller changes in the attitude angles and reduced impact forces at the feet during the quadruped robot’s walk on flat ground while also demonstrating strong adaptability to rugged terrains.","PeriodicalId":17511,"journal":{"name":"Journal of Vibration and Control","volume":"58 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142208083","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 : 2024-08-24DOI: 10.1177/10775463241272937
Marisa Nagata, Akira Saito
In recent years, software-based music composition is becoming common among composers. In this study, we propose a sound synthesis method that simulates the sound radiation from drums using vibration transmission and acoustic characteristics of the structure of the drums, which enables one to virtually produce the radiated sound due to excitation forces accurately. First, the acoustic experimental modal analysis was conducted, where the radiated sound from a drum due to impulsive force was measured, and transfer functions between the excitation point and the points where the sound need be synthesized were obtained. The normal modes were then identified by a curve-fit methodology, and the obtained transfer functions were projected onto a subset of normal modes with the frequencies that lie within the frequency range of interest. It is shown that the synthesized sound spectra and those of the corresponding time histories are in excellent agreement with the measurements.
{"title":"Sound synthesis of drums based on modal representation of transfer functions","authors":"Marisa Nagata, Akira Saito","doi":"10.1177/10775463241272937","DOIUrl":"https://doi.org/10.1177/10775463241272937","url":null,"abstract":"In recent years, software-based music composition is becoming common among composers. In this study, we propose a sound synthesis method that simulates the sound radiation from drums using vibration transmission and acoustic characteristics of the structure of the drums, which enables one to virtually produce the radiated sound due to excitation forces accurately. First, the acoustic experimental modal analysis was conducted, where the radiated sound from a drum due to impulsive force was measured, and transfer functions between the excitation point and the points where the sound need be synthesized were obtained. The normal modes were then identified by a curve-fit methodology, and the obtained transfer functions were projected onto a subset of normal modes with the frequencies that lie within the frequency range of interest. It is shown that the synthesized sound spectra and those of the corresponding time histories are in excellent agreement with the measurements.","PeriodicalId":17511,"journal":{"name":"Journal of Vibration and Control","volume":"31 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142208086","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 : 2024-08-22DOI: 10.1177/10775463241274589
Zhen Zhang, Yingkang Yao, Nan Jiang, Quanmin Xie, Junhao Wang
The stress waves generated by tunnel blasting in urban rock layers can affect the safety of adjacent buried structures in the overlying geological layers. To ensure the safety of buried structures, it is crucial to understand the blasting vibration characteristics in the geological layers. In this paper, the analytical solution for the vibration velocity response in geological layer subjected to P-wave is derived. Based on a specific tunnel blasting excavation project, the influence of incident wave frequency, layer thickness, and incidence angle on the vibration velocity distribution along the depth direction are investigated. Results show that the vibration velocity in the upper soil layer does not strictly attenuate with increasing distance from the blasting source but rather exhibits a fluctuating trend. As the frequency of the incident wave increases, the normalized vibration velocity on the ground surface exhibits a periodic decreasing trend, and the distance between the initial fluctuation point and the ground surface decreases. The normalized vibration velocity in the soil layer does not exhibit a monotonic decrease as the soil thickness increases. With an increase in the incident angle, a general declining pattern is observed in the normalized vibration velocity along the depth direction.
隧道爆破在城市岩层中产生的应力波会影响上覆地质层中相邻埋设结构的安全。为确保埋设结构的安全，了解地质层中的爆破振动特性至关重要。本文推导了地质层在 P 波作用下振动速度响应的解析解。基于一个具体的隧道爆破开挖工程，研究了入射波频率、地层厚度和入射角对沿深度方向振动速度分布的影响。结果表明，上部土层的振动速度并没有随着与爆破源距离的增加而严格衰减，而是呈波动趋势。随着入射波频率的增加，地表的归一化振动速度呈周期性下降趋势，初始波动点与地表之间的距离减小。土层中的归一化振动速度不会随着土层厚度的增加而单调下降。随着入射角度的增加，归一化振动速度沿深度方向呈总体下降趋势。
{"title":"Theoretical study of the vibration characteristic in geological layer under blasting excavation of metro tunnel","authors":"Zhen Zhang, Yingkang Yao, Nan Jiang, Quanmin Xie, Junhao Wang","doi":"10.1177/10775463241274589","DOIUrl":"https://doi.org/10.1177/10775463241274589","url":null,"abstract":"The stress waves generated by tunnel blasting in urban rock layers can affect the safety of adjacent buried structures in the overlying geological layers. To ensure the safety of buried structures, it is crucial to understand the blasting vibration characteristics in the geological layers. In this paper, the analytical solution for the vibration velocity response in geological layer subjected to P-wave is derived. Based on a specific tunnel blasting excavation project, the influence of incident wave frequency, layer thickness, and incidence angle on the vibration velocity distribution along the depth direction are investigated. Results show that the vibration velocity in the upper soil layer does not strictly attenuate with increasing distance from the blasting source but rather exhibits a fluctuating trend. As the frequency of the incident wave increases, the normalized vibration velocity on the ground surface exhibits a periodic decreasing trend, and the distance between the initial fluctuation point and the ground surface decreases. The normalized vibration velocity in the soil layer does not exhibit a monotonic decrease as the soil thickness increases. With an increase in the incident angle, a general declining pattern is observed in the normalized vibration velocity along the depth direction.","PeriodicalId":17511,"journal":{"name":"Journal of Vibration and Control","volume":"5 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142208087","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 : 2024-08-21DOI: 10.1177/10775463241269789
Shaofeng Xu, Zhibo Sun, Yixuan Wang, Jifan Wu, Yan Shi
In this work, an adaptive nonlinear error feedback controller based on fuzzy state observer is proposed to a novel rubber pneumatic vibration isolator (PVI) system. First, a novel rubber PVI system is designed and developed. Harmonic balance method is applied to establish the dynamic model of the PVI system, so as to analyze the frequency response characteristics of the system. Second, to improve the PVI performance in low-frequency vibration, a nonlinear state error feedback control system based on fuzzy state observer is designed for the active PVI system. Furthermore, the experiment system is established. Finally, through the experimental comparison under 5 Hz, 7 Hz, 20 Hz, and 40 Hz, an adaptive PVI strategy is proposed. The experimental results demonstrate that the adaptive PVI shows better performance in vibration isolation.
{"title":"A semi-active adaptive pneumatic vibration isolator based on frequency response analysis and nonlinear control","authors":"Shaofeng Xu, Zhibo Sun, Yixuan Wang, Jifan Wu, Yan Shi","doi":"10.1177/10775463241269789","DOIUrl":"https://doi.org/10.1177/10775463241269789","url":null,"abstract":"In this work, an adaptive nonlinear error feedback controller based on fuzzy state observer is proposed to a novel rubber pneumatic vibration isolator (PVI) system. First, a novel rubber PVI system is designed and developed. Harmonic balance method is applied to establish the dynamic model of the PVI system, so as to analyze the frequency response characteristics of the system. Second, to improve the PVI performance in low-frequency vibration, a nonlinear state error feedback control system based on fuzzy state observer is designed for the active PVI system. Furthermore, the experiment system is established. Finally, through the experimental comparison under 5 Hz, 7 Hz, 20 Hz, and 40 Hz, an adaptive PVI strategy is proposed. The experimental results demonstrate that the adaptive PVI shows better performance in vibration isolation.","PeriodicalId":17511,"journal":{"name":"Journal of Vibration and Control","volume":"45 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142207957","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this study, the modeling of a six-degree-of-freedom (DOF) magnetic levitation platform actuated by noncontact Lorentz forces was analyzed. First, an analytic model of the actuator forces was studied, and the magnetic flux density in the working gap of the actuators was established using the Image Method, Ampere molecular hypothesis, and Biot–Savart law. The dynamics model of the floater actuated by the actuators was then built using the Newton–Euler method. Moreover, the double-pendulum chaotic nonlinear system of the hoisted floater was simplified as a single-DOF system, in which the interaction effects between two DOFs were considered. Furthermore, modeling of the platform control system was performed, which included an acceleration measuring unit with six uniaxial accelerometers, a position measuring unit with three two-dimensional PSDs, and a control unit that decouples the six-DOF control. Finally, an experimental setup was built to perform ground tests on the platform. The results verified the platform modeling; translational and rotational positioning accuracies were approximately 5 μm and 40 μrad at the six DOFs, respectively, and the vibrational suppression efficiencies were greater than 90% for low frequency disturbances. Moreover, Kalman estimators and disturbance observers were introduced into the controller to estimate the movement of the floater and observe the direct disturbance. Simulation testing demonstrated a significant improvement in the vibration-suppression performance of the platform.
{"title":"Modeling of a six-degree-of-freedom magnetic levitation platform actuated by noncontact Lorentz forces","authors":"Jinlin Li, Sheng Zeng, Qiaoying Guo, Shuncong Zhong, Wei Liang, Wen He","doi":"10.1177/10775463241273035","DOIUrl":"https://doi.org/10.1177/10775463241273035","url":null,"abstract":"In this study, the modeling of a six-degree-of-freedom (DOF) magnetic levitation platform actuated by noncontact Lorentz forces was analyzed. First, an analytic model of the actuator forces was studied, and the magnetic flux density in the working gap of the actuators was established using the Image Method, Ampere molecular hypothesis, and Biot–Savart law. The dynamics model of the floater actuated by the actuators was then built using the Newton–Euler method. Moreover, the double-pendulum chaotic nonlinear system of the hoisted floater was simplified as a single-DOF system, in which the interaction effects between two DOFs were considered. Furthermore, modeling of the platform control system was performed, which included an acceleration measuring unit with six uniaxial accelerometers, a position measuring unit with three two-dimensional PSDs, and a control unit that decouples the six-DOF control. Finally, an experimental setup was built to perform ground tests on the platform. The results verified the platform modeling; translational and rotational positioning accuracies were approximately 5 μm and 40 μrad at the six DOFs, respectively, and the vibrational suppression efficiencies were greater than 90% for low frequency disturbances. Moreover, Kalman estimators and disturbance observers were introduced into the controller to estimate the movement of the floater and observe the direct disturbance. Simulation testing demonstrated a significant improvement in the vibration-suppression performance of the platform.","PeriodicalId":17511,"journal":{"name":"Journal of Vibration and Control","volume":"46 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142207958","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 : 2024-08-19DOI: 10.1177/10775463241272996
Peitao He, Xiling Xie, Zhiyi Zhang
Suppressing vibration transmission from the engine to the cylindrical shell of an unmanned underwater vehicle is an important measure to reduce vibration and sound radiation of the shell structure. Due to the limited space within the cylindrical shell, a compact transmission blocking structure (TBS) that integrates piezoelectric actuators and rubber isolators is proposed to prevent vibration transmission. To verify the feasibility of the transmission blocking structure in vibration control, the dynamic model of the vibration source-TBS-shell coupled system is established with the substructure synthesis method. The characteristics of power flow are analyzed and the effectiveness of the TBS is evaluated. A proof-of-principle experiment was conducted as well. Simulation and experimental results show that the piezoelectric actuators of the TBS can further reduce the harmonics on the basis of broadband attenuation of the vibration of the cylindrical shell.
{"title":"Vibration suppression of a cylindrical shell structure by transmission path control","authors":"Peitao He, Xiling Xie, Zhiyi Zhang","doi":"10.1177/10775463241272996","DOIUrl":"https://doi.org/10.1177/10775463241272996","url":null,"abstract":"Suppressing vibration transmission from the engine to the cylindrical shell of an unmanned underwater vehicle is an important measure to reduce vibration and sound radiation of the shell structure. Due to the limited space within the cylindrical shell, a compact transmission blocking structure (TBS) that integrates piezoelectric actuators and rubber isolators is proposed to prevent vibration transmission. To verify the feasibility of the transmission blocking structure in vibration control, the dynamic model of the vibration source-TBS-shell coupled system is established with the substructure synthesis method. The characteristics of power flow are analyzed and the effectiveness of the TBS is evaluated. A proof-of-principle experiment was conducted as well. Simulation and experimental results show that the piezoelectric actuators of the TBS can further reduce the harmonics on the basis of broadband attenuation of the vibration of the cylindrical shell.","PeriodicalId":17511,"journal":{"name":"Journal of Vibration and Control","volume":"15 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142207959","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 : 2024-08-18DOI: 10.1177/10775463241273080
Qiwu Zhao, Xiaoli Zhang
Rolling bearings have been extensively used to reduce friction and restrain relative movement between moving parts. However, failures such as wear or fatigue can be caused under continuous operating conditions, which results in extreme economic losses and severe injuries. The failure rate of rolling bearings can be reduced by the remaining useful life prediction, which can perform effective predictive maintenance to reduce the risk of bearing failures and improve reliability. Machine learning (ML) has inaugurated new approaches to implement RUL prediction of rolling bearings, which is essential to the machinery prognostic and health management (PHM) system. Unfortunately, many existing ML, particularly supervised learning methods, have the following drawbacks. On the one hand, the independent identically distributed law between the training data and test data is always difficult to satisfy, which will induce poor generalization and unsatisfactory prediction results. The amount of degradation data and the corresponding labels are increased with the degenerative process, which costs a lot of time and effort for label setting. On the other hand, most of them are incompetent for the task of RUL estimation with insufficient degradation information and the prediction accuracy is often affected by noise. To deal with the above issues, a hybrid model-based and data-driven model (HMDM) architecture that combines the grey model (GM) and gated recurrent unit (GRU) with multi-head self-attention (MHSA) is proposed. The raw failure signal of the rolling bearing is preprocessed by the singular value decomposition (SVD) method for noise reduction. A novel model learning method is applied to train models, which compensates for deficiencies of prediction errors caused by distribution differences between training data and testing data, as well as avoiding the problem of sample labeling to ease the economic burden and labor waste. The characteristics of the GM and MHSA-GRU are inherited by HMDM, which has excellent prognostic capacity at a variety of time sequence lengths and degradation information with different frequency changes. The prediction of the proposed model is verified by the experimental data from the PRONOSTIA platform and XJTU bearing dataset, and a comparison with other methods is conducted to reveal the merit of HMDM on the performance of RUL prediction. The results show that high prediction accuracy of time series with different lengths and frequency changes can be achieved by the proposed HMDM model, which outperforms the existing ML methods and provides a new solution for RUL prognostics of rolling bearings.
{"title":"HMDM: A hybrid GM model-based and MHSA-GRU data-driven method for remaining useful life prediction of rolling bearings","authors":"Qiwu Zhao, Xiaoli Zhang","doi":"10.1177/10775463241273080","DOIUrl":"https://doi.org/10.1177/10775463241273080","url":null,"abstract":"Rolling bearings have been extensively used to reduce friction and restrain relative movement between moving parts. However, failures such as wear or fatigue can be caused under continuous operating conditions, which results in extreme economic losses and severe injuries. The failure rate of rolling bearings can be reduced by the remaining useful life prediction, which can perform effective predictive maintenance to reduce the risk of bearing failures and improve reliability. Machine learning (ML) has inaugurated new approaches to implement RUL prediction of rolling bearings, which is essential to the machinery prognostic and health management (PHM) system. Unfortunately, many existing ML, particularly supervised learning methods, have the following drawbacks. On the one hand, the independent identically distributed law between the training data and test data is always difficult to satisfy, which will induce poor generalization and unsatisfactory prediction results. The amount of degradation data and the corresponding labels are increased with the degenerative process, which costs a lot of time and effort for label setting. On the other hand, most of them are incompetent for the task of RUL estimation with insufficient degradation information and the prediction accuracy is often affected by noise. To deal with the above issues, a hybrid model-based and data-driven model (HMDM) architecture that combines the grey model (GM) and gated recurrent unit (GRU) with multi-head self-attention (MHSA) is proposed. The raw failure signal of the rolling bearing is preprocessed by the singular value decomposition (SVD) method for noise reduction. A novel model learning method is applied to train models, which compensates for deficiencies of prediction errors caused by distribution differences between training data and testing data, as well as avoiding the problem of sample labeling to ease the economic burden and labor waste. The characteristics of the GM and MHSA-GRU are inherited by HMDM, which has excellent prognostic capacity at a variety of time sequence lengths and degradation information with different frequency changes. The prediction of the proposed model is verified by the experimental data from the PRONOSTIA platform and XJTU bearing dataset, and a comparison with other methods is conducted to reveal the merit of HMDM on the performance of RUL prediction. The results show that high prediction accuracy of time series with different lengths and frequency changes can be achieved by the proposed HMDM model, which outperforms the existing ML methods and provides a new solution for RUL prognostics of rolling bearings.","PeriodicalId":17511,"journal":{"name":"Journal of Vibration and Control","volume":"58 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142207960","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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