Article
Computer Science, Hardware & Architecture
Xiang Zhang, Guangchen Zhang, Yanyan Yin, Shuping He
Summary: This paper investigates asynchronous observer-based sliding mode control for a class of discrete-time Markov jump systems with time-delay and conic-type nonlinearities. It designs a controller and observer, proposes a sliding mode control law, and ensures system stability and dissipativity. Additionally, it discusses H-infinity and passive performance.
COMPUTERS & ELECTRICAL ENGINEERING
(2021)
Article
Automation & Control Systems
Yue-Yue Tao, Zheng-Guang Wu
Summary: This study investigates the asynchronous stabilization problem for discrete-time Markov jump linear systems (MJLSs) with complex mode transition probabilities (C-TPs). A practical scenario is considered where the system mode may not always be precisely detected, and some mode transition probabilities may be unknown or inaccurate. A mode separation strategy is proposed to deal with the C-TPs, and a unified controller design framework is established for MJLSs with or without C-TPs. The effectiveness of the proposed design method is demonstrated using a DC motor device.
Review
Automation & Control Systems
Shanling Dong, Meiqin Liu, Zheng-Guang Wu
Summary: In recent years, there has been a significant amount of research on the problems of asynchronous control and filtering for Markov jump systems (MJSs). The use of hidden Markov model (HMM) allows for the modeling of the asynchronous situation between the original MJSs and the controller/filter. This survey reviews the recent development of HMM-based asynchronous controller and filter design for different types of MJSs, such as linear MJSs, fuzzy MJSs, semi-MJSs, and 2D MJSs. The conclusion summarizes the findings and discusses potential future research directions for MJSs.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2023)
Article
Engineering, Mechanical
Zhenyu Wu, Zehui Xiao, Xuexi Zhang, Jie Tao
Summary: This article focuses on event-triggered quasi-synchronization in discrete Markov jump neural networks (MJNNs). By introducing a hidden Markov model, the mode mismatches in real-world applications are described. A more general event-triggered protocol is constructed by developing the threshold parameter as a diagonal matrix to achieve a desired balance between synchronization performance and event-triggered transmission. The sufficient condition for event-triggered quasi-synchronization of MJNNs is proposed using Lyapunov techniques, and a tighter error bound is obtained through an iterative algorithm and linear matrix inequality. A numerical example is provided to demonstrate the effectiveness of the control scheme by comparing the conservatism between the proposed approach and the existing one.
NONLINEAR DYNAMICS
(2023)
Article
Mathematics, Applied
ZeLiang Xia, Shuping He
Summary: This paper investigates the H 00 fault-tolerant control problem for a class of conic-type nonlinear Markov jump systems with sensor and actuator faults as well as unknown disturbances. The hidden Markov model is introduced to handle the asynchronous issue in control systems. By utilizing suitable Lyapunov-Krasovskii function and linear matrix inequalities techniques, a new condition of the state feedback H 00 fault-tolerant controller with actuator faults and sensor faults is presented. The proposed control strategy ensures both the finite-time boundness of the closed loop system and the desired H 00 performance.
APPLIED MATHEMATICS AND COMPUTATION
(2022)
Article
Automation & Control Systems
Yue-Yue Tao, Zheng-Guang Wu
Summary: This article focuses on the asynchronous H-infinity control problem for discrete-time hidden Markov jump systems with complex mode transition probabilities. The significance of this study lies in the practical estimation of system modes using a hidden Markov model and the consideration of complex probabilities in both processes of the HMM. The established results can cover special cases and the effectiveness is demonstrated through examples.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Automation & Control Systems
San Wang, Zheng-Guang Wu, Yue-Yue Tao
Summary: In this article, we study the asynchronous H-infinity control problem of a class of hidden Markov jump systems subject to actuator saturation in the continuous-time domain. By establishing a hidden Markov model and applying Lyapunov theory, sufficient conditions are presented to ensure the stochastic mean square stability of the resulting closed-loop system within the domain of attraction. The state feedback gain matrix and the estimation of the domain of attraction are obtained by solving an optimization problem constructed using linear matrix inequality techniques.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
Article
Engineering, Electrical & Electronic
Yunzhe Men, Jian Sun
Summary: This brief addresses the output feedback control problem of semi-Markov jump systems with unfixed transition probabilities. A high-level homogeneous Markov chain is employed to describe the variation of transition probabilities of the piecewise embedded homogeneous Markov chain. Improved stability conditions closely associated with the time-varying transition probabilities are proposed by studying the influence of transition probabilities on the system dynamics and relaxing the requirement of Lyapunov function at jump instants. Finally, a numerical example and an RLC circuit are presented to show the usefulness of incorporating the information of transition probabilities and illustrate the effectiveness of the designed controllers.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
(2023)
Article
Computer Science, Artificial Intelligence
Min Xue, Huaicheng Yan, Hao Zhang, Jun Sun, Hak-Keung Lam
Summary: This article addresses the issue of imperfect premise matching and asynchronous behavior in H-infinity output tracking control for Takagi-Sugeno fuzzy Markov jump systems. A hidden Markov model is utilized to capture the asynchronous phenomenon between system and controller modes, with packet loss described by a stochastic variable. Novel Lyapunov function is employed to derive stability criteria and develop an asynchronous control scheme with H-infinity tracking performance, validated through two examples.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2021)
Article
Automation & Control Systems
Sai Zhou, Jun Song, Yekai Yang
Summary: This article is about the hybrid design of transition rates and asynchronous sliding mode control law for continuous-time Markovian jump systems with matched disturbances, aiming to ensure the stochastic ultimate boundedness and disturbance attenuation performance of the systems. A hybrid design approach is proposed by establishing sufficient conditions and introducing a hidden Markov mode detector. The obtained sufficient conditions are solved via two iterative optimization algorithms.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2022)
Article
Computer Science, Theory & Methods
Tao Wu, Lianglin Xiong, Jinde Cao, Ju H. Park
Summary: This paper investigates the problem of asynchronous control for nonlinear Markov jump systems using fuzzy quantized sampled-data controller. A novel criterion is proposed to ensure the stochastic stability of fuzzy nonlinear Markov jump systems, which has less conservatism and low computational complexity.
FUZZY SETS AND SYSTEMS
(2022)
Article
Mathematics, Applied
Mengmeng Liu, Jinyong Yu, Yu Liu
Summary: This paper addresses the problem of event-triggered asynchronous fault detection for Markov jump systems under partially accessible hidden information and aperiodic denial-of-service attacks. A hidden Markov model is introduced to characterize the asynchronous phenomenon and a resilient dynamic event-triggered communication strategy is proposed to save network bandwidth and resist the attacks. By formulating a switched residual model and applying a piecewise stochastic Lyapunov-Krasovskii functional approach, sufficient conditions are derived to ensure the stochastic stability of the system with desired dissipativity performance. An explicit expression of the desired asynchronous FD filter is obtained using convex optimization techniques.
APPLIED MATHEMATICS AND COMPUTATION
(2022)
Article
Automation & Control Systems
Peng Cheng, Hai Wang, Vladimir Stojanovic, Fei Liu, Shuping He, Kaibo Shi
Summary: This paper addresses the issue of finite-time dissipative asynchronous output feedback control for wind turbine systems modeled as Markov jump Lure systems. It proposes a solution using hidden Markov models and Lyapunov function approach, and validates the effectiveness of the controller through a simulation example.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2022)
Article
Computer Science, Theory & Methods
Wenqian Xie, Sing Kiong Nguang, Hong Zhu, Yuping Zhang, Kaibo Shi
Summary: This paper investigates the network-based H-infinity control problem for Takagi-Sugeno fuzzy Markov jump systems with communication delays. Novel mode-dependent event-triggered communication scheme (ETCS) is proposed, and an asynchronous controller based on a hidden Markov model is designed to stabilize the fuzzy Markov jump systems. A less restrictive Lyapunov-Krasovskii functional is introduced for event-triggered asynchronous control issue. Sufficient conditions are obtained to ensure the stochastic stability with a prescribed H(infinity )performance.
FUZZY SETS AND SYSTEMS
(2022)
Article
Mathematics, Applied
Yinghong Zhao, Yuechao Ma
Summary: This paper addresses the asynchronous H-infinity control problem for hidden singular Markov jump systems with incomplete transition probabilities. A novel LKF and PDRCMI are designed to reduce redundant decision variables and decrease conservatism, while an asynchronous state feedback controller based on HMM is developed to handle non-synchronization phenomenon. The consideration of incomplete transition probabilities provides a more practical potential strategy, and numerical examples illustrate the superiority and practicability of the presented results.
APPLIED MATHEMATICS AND COMPUTATION
(2021)
Article
Automation & Control Systems
Peng Cheng, Shuping He, Hongli Dong, Weixing Chen, Weidong Zhang
Summary: In this article, an extended state observer-based finite-region control scheme is proposed for two-dimensional Markov jump systems with unknown mismatched disturbances. By establishing special recursive formulas and utilizing the 2-D Lyapunov function theory, sufficient conditions are obtained for the resultant system to be finite-region bounded. An algorithm is provided to solve the extended state observer-based controller gains. The proposed control scheme actively rejects external disturbances and the validity and effectiveness of the devised scheme are demonstrated through a numerical example based on the Darboux equation.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2023)
Article
Automation & Control Systems
Zhen Zhang, Xiaona Song, Xiangliang Sun, Vladimir Stojanovic
Summary: This study investigates the problem of hybrid-driven fuzzy filtering for nonlinear semi-linear parabolic partial differential equation systems with dual cyber attacks. A Takagi-Sugeno (T-S) fuzzy model is utilized to reconstruct the original nonlinear systems, and a hybrid-driven mechanism is applied for filter design to balance system performance and limited network resource consumption under deception and denial of service attacks. Sufficient conditions for the stability of the augmented system are obtained using the Lyapunov direct method, and the parameter values for the designed filter are derived explicitly. A simulation example with robust analysis and comparative analysis is provided to demonstrate the effectiveness of the proposed method.
INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING
(2023)
Article
Automation & Control Systems
Hongfeng Tao, Jier Qiu, Yiyang Chen, Vladimir Stojanovic, Long Cheng
Summary: This paper proposes an unsupervised cross-domain fault diagnosis method based on time-frequency information fusion to address the challenges of label scarcity and data distribution differences in bearing fault diagnosis. The method utilizes wavelet packet decomposition and reconstruction to extract fault features in the form of a 2-D time-frequency map, constructs an unsupervised cross-domain fault diagnosis model, and calculates the joint distribution distance using the improved maximum mean discrepancy algorithm and pseudo-labels. Experimental results on motor bearings demonstrate the high diagnosis accuracy and strong robustness of the proposed method.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2023)
Article
Automation & Control Systems
Qiyuan Zhang, Xiaona Song, Shuai Song, Vladimir Stojanovic
Summary: This article proposes a sliding mode control strategy for hyperbolic PDE systems with the requirement of finite-time boundedness. The singular perturbation theory is introduced to model multitime scales phenomena, and a quantized measurement method is employed to save communication resources. By constructing a sliding surface and developing a sliding mode control law, the state trajectories are driven to the designed sliding surface in finite time. A partitioning strategy is introduced to ensure the system's finite-time boundedness in both reaching phase and sliding motion phase.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2023)
Article
Engineering, Multidisciplinary
Lingzhi Shen, Hongfeng Tao, Yuanzhi Ni, Yue Wang, Vladimir Stojanovic
Summary: In this paper, a YOLOv3-based method is proposed to enhance the capability of cross-scale detection and focus on valuable areas. The method fills an urgent need for multi-scale detection, and its individual components will be useful in road object detection.
MEASUREMENT SCIENCE AND TECHNOLOGY
(2023)
Article
Automation & Control Systems
Shanglei Guan, Zhihe Zhuang, Hongfeng Tao, Yiyang Chen, Vladimir Stojanovic, Wojciech Paszke
Summary: In this paper, a feedback-aided PD-type ILC design is proposed for time-varying systems with non-uniform trial lengths. The update sequences designed provide uniform full-length signals for the update process, even when the actual trial lengths are non-uniform. The use of feedback error signal as part of the correction term improves the system performance compared to traditional open-loop approaches.
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL
(2023)
Article
Automation & Control Systems
Xiaona Song, Chenglin Wu, Vladimir Stojanovic, Shuai Song
Summary: This paper investigates the fixed-time prescribed performance trajectory tracking control for the unmanned surface vehicle with unknown dynamics and disturbances. At first, an improved prescribed performance function was introduced to transformation of coordinate for achieving a user-defined performance including the transient and steady-state performance of the USV. Then, an adaptive fixed-time trajectory tracking controller is designed by integrating the fixed-time stability and the event-triggered control (ETC) mechanism. Stability results prove that the proposed controller not only guaranteed that all the signals in the closed-loop system are the semi-global uniform ultimate bounded (SGUUB), but also ensured the tracking errors can converge to a preassigned area in a fixed-time. Moreover, by proposing a co-design of the ETC and 1-bit signal encoding-decoding mechanisms between controller and actuator, the trade-off between tracking performance and communication cost is achieved. Finally, the effectiveness of the developed control approach is verified through simulation results.
CONTROL ENGINEERING PRACTICE
(2023)
Article
Automation & Control Systems
Zhihe Zhuang, Hongfeng Tao, Yiyang Chen, Vladimir Stojanovic, Wojciech Paszke
Summary: This article proposes an optimal iterative learning control (ILC) algorithm for linear time-invariant multiple-input-multiple-output (MIMO) systems with nonuniform trial lengths under input constraints. The algorithm introduces the primal-dual interior point method to handle the input constraints, improving the constraint handling capability compared to conventional methods for nonuniform trial lengths. The algorithm also exhibits monotonic convergence property and its effectiveness is verified through numerical simulation of a mobile robot.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Automation & Control Systems
Peng Cheng, Guoqing Zhang, Weidong Zhang, Shuping He
Summary: This article discusses the co-design scheme of the adaptive event-triggered mechanism (AETM) and asynchronous $H_{infinity}$ control for two-dimensional (2-D) Markov jump systems. By introducing a hidden Markov model, the asynchronous phenomenon between the plant mode and the controller mode is addressed. An innovative 2-D AETM is constructed to optimize system performance by dynamically adjusting the event-triggered thresholds. Nonlinear matrix inequalities are established using the 2-D Lyapunov stability theory to ensure asymptotic mean-square stability with an $H_{infinity}$ performance for the closed-loop 2-D system. A binary-based genetic algorithm (BGA) is used to treat certain variables as known, thereby deriving directly solvable linear matrix inequalities and avoiding conservatism. A simulation example is provided to verify the effectiveness of the proposed 2-D AETM-based asynchronous controller strategy with a BGA.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
Article
Automation & Control Systems
Peng Cheng, Shuping He, Wei Xie, Weidong Zhang
Summary: In this work, the authors focus on the transient behavior of a class of two-dimensional fuzzy Markov jump systems in the context of finite-region asynchronous dissipative control. They first model the considered plant using the well-known Fornasini-Marchesini equation and characterize the asynchronization phenomenon with a hidden Markov model. Then, they establish sufficient conditions for the overall closed-loop fuzzy dynamic MJSs to be finite-region bounded and strictly (T, S, R)-α-dissipative through a fuzzy-basis-dependent and mode-dependent Lyapunov function. Finally, a numerical example is presented to validate the effectiveness and performance of the proposed control scheme.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Automation & Control Systems
Peng Cheng, Hongtian Chen, Shuping He, Weidong Zhang
Summary: This work addresses the issue of asynchronous deconvolution filter design for 2-D Markov jump systems with random packet losses. An asynchronous 2-D deconvolution filter is proposed to reconstruct the 2-D signal with measurement noise. The asynchronization phenomenon between the system modes and filter modes is characterized by a hidden Markov model.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
(2023)
Article
Mathematical & Computational Biology
Vladimir Djordjevic, Hongfeng Tao, Xiaona Song, Shuping He, Weinan Gao, Vladimir Stojanovic
Summary: This paper investigates an event-triggered learning control problem of hydraulic servo actuators (HSAs) with unknown dynamics using adaptive dynamic programming (ADP) and output feedback. An online learning data-driven controller, which is based on measured input and output data rather than unmeasurable states and unknown system parameters, is used. The proposed approach does not require knowledge of the HSA and exosystem dynamics. Additionally, an event-based feedback strategy is introduced to save communication resources and reduce the number of control updates. Simulation results demonstrate the feasibility and effectiveness of the proposed approach in solving the optimal control problem of HSAs.
MATHEMATICAL BIOSCIENCES AND ENGINEERING
(2023)
Article
Automation & Control Systems
Hongfeng Tao, Junhao Zheng, Junyu Wei, Wojciech Paszke, Eric Rogers, Vladimir Stojanovic
Summary: This paper presents an indirect iterative learning control scheme for batch processes. The scheme addresses the challenges of time-varying uncertainties, input delay, and disturbances. It utilizes a state observer-based predictor to estimate future states and compensate for input delay, and a feedback controller to track the specified reference trajectory. A robust H-infinity controller is used to handle time-varying uncertainties and load disturbances. The effectiveness of the proposed method is demonstrated with an injection molding process model, and a comparison with a direct-type design is provided.
JOURNAL OF PROCESS CONTROL
(2023)
Article
Mathematics, Applied
Vladimir Stojanovic
Summary: This study investigates the fault-tolerant control problem of a hydraulic servo actuator in the presence of actuator faults using adaptive dynamic programming. It aims to achieve asymptotic tracking and actuator faults compensation by minimizing a predefined performance index. The proposed approach iteratively solves the discrete-time algebraic Riccati equation, integrating adaptive dynamic programming techniques and fault compensation to iteratively compute an approximated optimal fault-tolerant control. The developed data-driven fault-tolerant control strategy is validated and shown to be effective through intensive simulation results.
MATHEMATICAL MODELLING AND CONTROL
(2023)
Article
Acoustics
Vladimir Stojanovic, Jian Deng, Dunja Milic, Marko D. Petkovic
Summary: A comprehensive investigation was conducted to analyze the vibration stability of a coupled bogie system moving along a flexibly supported infinite high-order shear deformable coupled beam system on a viscoelastic base. The study compared the coupling of the bogie system with and without an additional stabilizer, finding significant benefits of dual coupling and additional stabilizers in terms of stability. The study also proposed unconventional models for technical practice and discovered the occurrence of motion instability with increased viscous damping in a special coupling. The paper introduced a novel technical solution for connecting moving objects at high speeds and extensively illustrated the benefits of an additional oscillator as a stabilizer through various examples. Using the D-decomposition technique and the argument principle, the study identified the region of instability within the parameter space of the system. The analysis revealed that the additional mechanical stabilizer allowed for a wider range of permissible suspension stiffness, while enabling transverse displacement in the couplings resulted in a stable regime of motion at lower suspension stiffness compared to other cases.
JOURNAL OF SOUND AND VIBRATION
(2024)
Article
Engineering, Mechanical
Xuanen Kan, Yanjun Lu, Fan Zhang, Weipeng Hu
Summary: A blade disk system is crucial for the energy conversion efficiency of turbomachinery, but differences between blades can result in localized vibration. This study develops an approximate symplectic method to simulate vibration localization in a mistuned bladed disk system and reveals the influences of initial positive pressure, contact angle, and surface roughness on the strength of vibration localization.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Zimeng Liu, Cheng Chang, Haodong Hu, Hui Ma, Kaigang Yuan, Xin Li, Xiaojian Zhao, Zhike Peng
Summary: Considering the calculation efficiency and accuracy of meshing characteristics of gear pair with tooth root crack fault, a parametric model of cracked spur gear is established by simplifying the crack propagation path. The LTCA method is used to calculate the time-varying meshing stiffness and transmission error, and the results are verified by finite element method. The study also proposes a crack area share index to measure the degree of crack fault and determines the application range of simplified crack propagation path.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Rongjian Sun, Conggan Ma, Nic Zhang, Chuyo Kaku, Yu Zhang, Qirui Hou
Summary: This paper proposes a novel forward calculation method (FCM) for calculating anisotropic material parameters (AMPs) of the motor stator assembly, considering structural discontinuities and composite material properties. The method is based on multi-scale theory and decouples the multi-scale equations to describe the equivalence and equivalence preconditions of AMPs of two scale models. The effectiveness of this method is verified by modal experiments.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Hao Zhang, Jiangcen Ke
Summary: This research introduces an intelligent scheduling system framework to optimize the ship lock schedule of the Three Gorges Hub. By analyzing navigational rules, operational characteristics, and existing problems, a mixed-integer nonlinear programming model is formulated with multiple objectives and constraints, and a hybrid intelligent algorithm is constructed for optimization.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Jingjing He, Xizhong Wu, Xuefei Guan
Summary: A sensitivity and reliability enhanced ultrasonic method has been developed in this study to monitor and predict stress loss in pre-stressed multi-layer structures. The method leverages the potential breathing effect of porous cushion materials in the structures to increase the sensitivity of the signal feature to stress loss. Experimental investigations show that the proposed method offers improved accuracy, reliability, and sensitivity to stress change.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Benyamin Hosseiny, Jalal Amini, Hossein Aghababaei
Summary: This paper presents a method for monitoring sub-second or sub-minute displacements using GBSAR signals, which employs spectral estimation to achieve multi-dimensional target detection. It improves the processing of MIMO radar data and enables high-resolution fast displacement monitoring from GBSAR signals.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Xianze Li, Hao Su, Ling Xiang, Qingtao Yao, Aijun Hu
Summary: This paper proposes a novel method for bearing fault identification, which can accurately identify faults with few samples under complex working conditions. The method is based on a Transformer meta-learning model, and the final result is determined by the weighted voting of multiple models.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Xiaomeng Li, Yi Wang, Guangyao Zhang, Baoping Tang, Yi Qin
Summary: Inspired by chaos fractal theory and slowly varying damage dynamics theory, this paper proposes a new health monitoring indicator for vibration signals of rotating machinery, which can effectively monitor the mechanical condition under both cyclo-stationary and variable operating conditions.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Hao Wang, Songye Zhu
Summary: This paper extends the latching mechanism to vibration control to improve energy dissipation efficiency. An innovative semi-active latched mass damper (LMD) is proposed, and different latching control strategies are tested and evaluated. The latching control can optimize the phase lag between control force and structural response, and provide an innovative solution to improve damper effectiveness and develop adaptive semi-active dampers.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Menghao Ping, Xinyu Jia, Costas Papadimitriou, Xu Han, Chao Jiang, Wang-Ji Yan
Summary: Identification of non-Gaussian processes is a challenging task in engineering problems. This article presents an improved orthogonal series expansion method to convert the identification of non-Gaussian processes into a finite number of non-Gaussian coefficients. The uncertainty of these coefficients is quantified using polynomial chaos expansion. The proposed method is applicable to both stationary and nonstationary non-Gaussian processes and has been validated through simulated data and real-world applications.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Lei Li, Wei Yang, Dongfa Li, Jianxin Han, Wenming Zhang
Summary: The frequency locking phenomenon induced by modal coupling can effectively overcome the dependence of peak frequency on driving strength in nonlinear resonant systems and improve the stability of peak frequency. This study proposes the double frequencies locking phenomenon in a three degrees of freedom (3-DOF) magnetic coupled resonant system driven by piezoelectricity. Experimental and theoretical investigations confirm the occurrence of first frequency locking and the subsequent switching to second frequency locking with the increase of driving force. Furthermore, a mass sensing scheme for double analytes is proposed based on the double frequencies locking phenomenon.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Kai Ma, Jingtao Du, Yang Liu, Ximing Chen
Summary: This study explores the feasibility of using nonlinear energy sinks (NES) as replacements for traditional linear tuned mass dampers (TMD) in practical engineering applications, specifically in diesel engine crankshafts. The results show that NES provides better vibration attenuation for the crankshaft compared to TMD under different operating conditions.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Wentao Xu, Li Cheng, Shuaihao Lei, Lei Yu, Weixuan Jiao
Summary: In this study, a high-precision hydraulic mechanical stand and a vertical mixed-flow pumping station device were used to conduct research on cavitation signals of mixed-flow pumps. By analyzing the water pressure pulsation signal, it was found that the power spectrum density method is more sensitive and capable of extracting characteristics compared to traditional time-frequency domain analysis. This has significant implications for the identification and prevention of cavitation in mixed-flow pump machinery.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Xiaodong Chen, Kang Tai, Huifeng Tan, Zhimin Xie
Summary: This paper addresses the issue of parasitic motion in microgripper jaws and its impact on clamping accuracy, and proposes a symmetrically stressed parallelogram mechanism as a solution. Through mechanical modeling and experimental validation, the effectiveness of this method is demonstrated.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Zhifeng Shi, Gang Zhang, Jing Liu, Xinbin Li, Yajun Xu, Changfeng Yan
Summary: This study provides useful guidance for early bearing fault detection and diagnosis by investigating the effects of crack inclination and propagation direction on the vibration characteristics of bearings.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
