Article
Engineering, Electrical & Electronic
Yongbao Guo, Haixia Wang, Tao Su
Summary: In this paper, a new full-order adaptive observer algorithm is proposed to overcome the instability of speed sensorless vector control system of induction motor at low speed. The algorithm consists of the improved feedback matrix algorithm and the improved speed adaptive law algorithm. By considering the non-linear voltage error of the inverter and the stator resistance voltage drop, the algorithm reduces the effect of these factors on speed estimation and improves the motor speed estimation accuracy at low speed.
IET POWER ELECTRONICS
(2022)
Article
Chemistry, Multidisciplinary
Hyeon-Woo Kim, Hyun-Rok Cha
Summary: The study tackled the issue of vehicle stability by mathematically formulating a variable mass understeer gradient (VMUG) for electric vehicle trucks, introducing a slip control method that outperformed conventional approaches in simulated scenarios for both normal loading and overloading conditions.
APPLIED SCIENCES-BASEL
(2021)
Article
Engineering, Mechanical
Geng Guoqing, Yan Zhishuai, Duan Chen, Xu Xing, Zhang Houzhong
Summary: This paper proposes a nonlinear adaptive lateral stability control strategy for distributed drive electric vehicles (DDEV) under extreme conditions, which is based on Cubature Kalman filter (CKF) observer and adaptive fuzzy sliding mode control (FSMC) theory. Simulation results demonstrate the effectiveness of the proposed method.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING
(2023)
Article
Computer Science, Hardware & Architecture
Wenjie Ye, Weixiang Shen, Zhe Qian, Jinchuan Zheng
Summary: This paper investigates the control strategy of underground mining electric vehicles (UMEVs) and proposes a method using fuzzy parameter tuning sliding mode controller (FPTSMC) to cope with uncertainties and disturbances in the complex working environment of underground mines. The simulation and experimental results demonstrate that this method can enhance system stability and robustness, achieving better performance.
COMPUTERS & ELECTRICAL ENGINEERING
(2022)
Article
Engineering, Multidisciplinary
Pan Chaofeng, Li Yuan, Huang Aibao, Wang Jian, Liang Jun
Summary: This study investigates vehicle queuing at intersections and proposes an eco-driving strategy to improve vehicle energy consumption and traffic efficiency in urban traffic environments. The proposed design approach can be applied to electric vehicles through the planning of vehicle speed and determination of control variable acceleration. The results reveal that the GA-based single-vehicle speed planning method reduces energy consumption by 16% compared to rule-based methods, while the GA fleet speed planning method based on V2X communication reduces average fleet energy consumption by 26% and 24% respectively, and improves intersection traffic efficiency.
SCIENCE CHINA-TECHNOLOGICAL SCIENCES
(2023)
Article
Computer Science, Information Systems
Amauri Da Silva Junior, Christian Birkner, Reza Nakhaie Jazar, And Hormoz Marzbani
Summary: In this paper, we develop a coupled controller based on the second-order sliding mode control theory to handle evasive maneuvers for an over-actuated vehicle. The controller uses the bicycle model to establish the equivalent and robust steering equations as a control-oriented model. We couple the lateral and longitudinal vehicle motions by incorporating lateral vehicle information and the dependence of the lateral sliding surface on the longitudinal velocity. The torque vectoring method based on fuzzy logic is used to adjust the yaw moment for stabilizing the vehicle. The slip controller is addressed to stabilize the vehicle while maneuvering. Our research is the earliest in providing an ultimate emergency control to successfully avoid crashes up to 130 km/h in short time crash detection.
Article
Acoustics
Ziwei Zhou, Rong Guo, Xiaoyue Liu
Summary: This study addresses the coordinated control problem of power sources and actuators of a series-parallel hybrid electric vehicle on mode switching condition. A disturbance observer and compensation method are introduced to resolve the control problem, and a disturbance observer-sliding mode control strategy is proposed to suppress mode switching vibration and improve ride comfort.
JOURNAL OF VIBRATION AND CONTROL
(2023)
Article
Computer Science, Hardware & Architecture
Mouna Zerzeri, Adel Khedher
Summary: This paper proposes an optimized control approach of a Doubly-Fed Induction Motor (DFIM) based on a field weakening algorithm, achieving nearly doubled torque-speed operation region. By investigating the active power distribution law between the stator and rotor sides, a Stator Flux Oriented Control and decoupled control between torque and flux are implemented. Integration of a Sliding Mode Flux Observer ensures sensorless command and enhances performance in achieving maximum torque in a wide speed range.
COMPUTERS & ELECTRICAL ENGINEERING
(2021)
Article
Engineering, Mechanical
Hongwei Wang, Jie Han, Haotian Zhang
Summary: This paper proposes a lateral stability control strategy for four-wheel independent drive electric vehicles. The strategy adopts a hierarchical structure with upper and lower controllers. The upper controller uses integral sliding mode control method to obtain the desired yaw moment, while the lower controller proposes a new optimal allocation algorithm. Simulation results demonstrate the effectiveness of the proposed control strategy.
Article
Computer Science, Information Systems
Hoang Ngoc Tran, Jae Wook Jeon
Summary: This paper proposes a robust mechanical parameter estimation and adaptive speed control algorithm for permanent magnet synchronous motor (PMSM) drive systems based on the dual adaptive sliding-mode method. The methods include a robust adaptive sliding mode mechanical observer (RASM) and mechanical parameter identification (MPI) to eliminate system parameter errors, as well as an adaptive sliding-mode speed control (ASMSC) to reduce control signal chattering. The experimental results verify the accuracy and stability of the proposed scheme.
Article
Engineering, Mechanical
Xin Ji, Xinhua Wei, Anzhe Wang, Bingbo Cui, Qi Song
Summary: In recent years, unmanned vehicles in agricultural applications have gained significant attention due to the rapid development of global positioning systems, inertial navigation technology, and control theory. This study presents a novel sliding mode controller for lateral path tracking control of farm vehicles in the presence of unknown disturbances. The proposed controller outperforms traditional path tracking controllers, as demonstrated by numerical simulations.
NONLINEAR DYNAMICS
(2022)
Article
Automation & Control Systems
Shamila Nateghi, Yuri Shtessel, Christopher Edwards
Summary: This article investigates the resilient control of linear cyber-physical systems with cyber-attacked sensor measurements and actuator commands. It achieves online reconstruction of unknown cyber-attacks and proposes cleaning up the attacked/corrupted sensor measurements and actuators, showing that the system retains its performance prior to the attacks after a transient response for attack reconstruction. The efficacy of the proposed algorithms is demonstrated on an electrical power network.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2021)
Article
Automation & Control Systems
Mohsen Farbood, Zeinab Echreshavi, Mokhtar Shasadeghi, Saleh Mobayen
Summary: This paper proposes an event-triggered integral sliding mode control (ISMC) for perturbed nonlinear Takagi-Sugeno (TS) fuzzy systems. A disturbance observer is designed to estimate and reduce the unmatched disturbances. Two types of sliding surfaces are established to reduce computational burden and communication resources. The proposed control scheme ensures system performance enhancement and Zeno-free behavior.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2023)
Article
Engineering, Multidisciplinary
Liu Gang, Qiao Lin-Yan
Summary: This paper proposed a control method of vehicle lateral stability control system, adjusting the direct yaw moment and engine torque regulation values to achieve the best driving performance under complicated friction conditions, and designed corresponding control algorithms.
MATHEMATICAL PROBLEMS IN ENGINEERING
(2022)
Article
Engineering, Electrical & Electronic
Haitao Li, Xiangwen Chen, Haifeng Zhang, Xinfang Cui
Summary: This article proposes a discrete control algorithm to suppress various disturbances in low-speed gimbal servo systems and establishes a constraint between controller parameters and sampling time to ensure system stability. A composite control method combining sliding mode controller and sliding mode observer is applied to estimate and eliminate interference. Simulation and experimental results validate the effectiveness of the proposed method.
IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS
(2022)
Article
Engineering, Mechanical
Geng Guoqing, Yan Zhishuai, Duan Chen, Xu Xing, Zhang Houzhong
Summary: This paper proposes a nonlinear adaptive lateral stability control strategy for distributed drive electric vehicles (DDEV) under extreme conditions, which is based on Cubature Kalman filter (CKF) observer and adaptive fuzzy sliding mode control (FSMC) theory. Simulation results demonstrate the effectiveness of the proposed method.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING
(2023)
Article
Engineering, Electrical & Electronic
Cong Liang, Xing Xu, Feng Wang, Shaohua Wang, Zhiguang Zhou
Summary: This paper proposes a coordinated delay controller to address the asynchronous delays caused by the controller area network in the mode transition process of a dual motor plug-in hybrid electric vehicle. By designing a robust output feedback controller, fast, smooth, and stable mode transitions can be achieved, improving torque demand and ride comfort.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2022)
Article
Automation & Control Systems
Zhixiang Ma, Xing Xu, Ju Xie, Xinwei Jiang, Feng Wang
Summary: This paper introduces a new semi-active quasi-zero stiffness air suspension system and a negative stiffness control strategy for commercial vehicles to improve vibration isolation performance. The strategy, which utilizes data driven approach and adaptive fuzzy neural network method, can effectively enhance multi-objective performance of commercial vehicles under different driving conditions.
INTERNATIONAL JOURNAL OF FUZZY SYSTEMS
(2022)
Article
Automation & Control Systems
Shenguang He, Xing Xu, Ju Xie, Feng Wang, Zhenyu Liu
Summary: This paper proposes an adaptive tire cornering stiffness strategy and a trajectory tracking autonomous steering control strategy for intelligent vehicles. It utilizes a neural network and fuzzy controller to estimate the tire-road friction coefficient and employs model predictive control and sliding mode control algorithms for trajectory tracking control. The results show that the proposed control algorithm significantly improves the trajectory tracking accuracy and stability of intelligent vehicles on different road surfaces.
CONTROL ENGINEERING PRACTICE
(2023)
Article
Engineering, Civil
Ju Xie, Xing Xu, Feng Wang, Zhenyu Liu, Long Chen
Summary: This paper proposes a novel coordination control strategy for human-machine cooperative steering of intelligent vehicles, using a reinforcement learning approach. The strategy aims to achieve a more flexible and efficient path-following by the human driver and the automated driving system. The paper models the cooperation between human and machine, designs a steering system, and uses two reinforcement learning agents to optimize the allocation of cooperative steering weights. The strategy is successfully verified in simulation scenarios and real-world experiments, showing effective control of lateral and yaw errors in path-following.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Acoustics
Xinwei Jiang, Xing Xu, Cong Liang, Huan Liu, Akolbire Vincent Atindana
Summary: This paper proposes a quasi-zero stiffness air suspension system combined with pneumatic negative stiffness mechanism. A robust controller based on polynomial chaos expansion (PCE) is designed to address the uncertainty of the suspension system. Simulations and HiL tests demonstrate the effectiveness and real-time performance of the proposed PCE-H-2 controller, which outperforms the conventional H-2 control.
JOURNAL OF VIBRATION AND CONTROL
(2023)
Article
Engineering, Civil
Te Chen, Yingfeng Cai, Long Chen, Xing Xu
Summary: To ensure the driving safety, comfort, stability, and high mobility of emergency rescue vehicles, a trajectory and velocity planning method based on segmented three-dimensional quartic Bezier curve is proposed. The method uses a three-dimensional Bezier curve for vehicle trajectory planning and considers the actual characteristics of emergency rescue vehicles. The results show that this method effectively improves the mobility of trajectory planning results, enhances lane-changing efficiency, and reduces lane-changing time while ensuring the design objectives of vehicle safety, comfort, and stability.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Automation & Control Systems
Xing Xu, Xinwei Jiang, Ju Xie, Feng Wang, Minglei Li
Summary: This research focuses on planning a trajectory that reflects human driving behavior based on a test track, in order to improve the acceptability of autonomous vehicles in the market. The study includes data processing, trajectory analysis and planning, and verification experiments. Results show that the human driving characterised trajectory allows for smoother and more comfortable autonomous driving, and to a large extent reflects the characteristics of human drivers.
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS
(2023)
Article
Engineering, Multidisciplinary
Shenguang He, Xing Xu, Ju Xie, Feng Wang, Zhenyu Liu, Feng Zhao
Summary: This paper proposes a novel fault detection and fault tolerance control (FDFTC) strategy to address the issues of low performance and low reliability of autonomous steering systems in intelligent vehicles. Firstly, an autonomous steering controller with rack displacement as the state feedback input is used to enhance system performance. Secondly, a FDFTC strategy composed of a Bidirectional Long Short-Term Memory (Bi-LSTM) based rack displacement estimator and Sequential Probability Ratio Test (SPRT) is designed to effectively handle displacement sensor faults. The comprehensive simulation and Hardware-in-Loop (HiL) test results demonstrate that the proposed FDFTC strategy can promptly detect sensor failures and efficiently restore vehicles to a stable state, thus effectively maintaining the trajectory tracking of intelligent vehicles when faults occur.
Article
Engineering, Mechanical
Xing Xu, Xinwei Jiang, Lei Chen, Feng Wang, Vincent Akolbire Atindana
Summary: This paper proposes a new configuration of semi-active quasi-zero stiffness air suspension (QZSAS) with net-work communication architecture, and a matching dynamic output feedback control (DOFC) strategy considering event-triggered mechanism to improve the multi-objective vibration isolation performance of commercial vehicles and save network resource occupation. The semi-active QZSAS is mainly composed of a positive stiffness air spring, a pair of negative stiffness double-acting cylinders, and two continuous damping controlled (CDC) dampers. Results from co-simulation and hardware-in-the-loop (HiL) tests demonstrate that the presented new semi-active QZSAS structure and the DOFC method considering event-triggered mechanism can significantly improve the multi-objective performance of commercial vehicles under different driving conditions with significantly reducing the network communication burden.
NONLINEAR DYNAMICS
(2023)
Article
Engineering, Mechanical
Zhongwei Wu, Xing Xu, Ju Xie, Zhenyu Liu, Shenguang He
Summary: To solve the tracking error caused by transmission backlash in the dual-motor autonomous steering system and improve trajectory tracking accuracy, this paper proposes a novel steering control strategy that combines sliding model control (SMC) with variable weights and linear quadratic regulator (LQR). The vehicle dynamics model is first built and the steering system model is established by incorporating the simplified gear backlash system. Then, the SMC-based front wheel angle control is designed and the weights of the contact mode and backlash mode are optimized using the Particle Swarm Optimization algorithm. Simulation and Hardware-in-Loop (HiL) tests demonstrate that the proposed strategy achieves better angle tracking accuracy and stronger adaptability to system load changes and improves trajectory tracking accuracy for autonomous vehicles.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING
(2023)
Article
Engineering, Mechanical
Haozhe Shi, Guoqing Geng, Xing Xu, Ju Xie, Shenguang He
Summary: In this paper, a path tracking control strategy for intelligent vehicles is proposed, which considers the mechanical friction and nonlinearity of tires in the dual-motor autonomous steering system. A dual-motor autonomous steering system is established, considering mechanical friction and the variation of tire cornering stiffness under different tire-road friction coefficients. A tire-road friction coefficient estimator is designed based on a PSO-LSTM neural network, and the control strategy of the dual-motor autonomous steering system is designed to improve tracking accuracy and performance. Simulation and HiL tests validate the effectiveness of the proposed method.
Review
Acoustics
Vincent Akolbire Atindana, Xing Xu, Andrews Nanzie Nyedeb, James Kwasi Quaisie, Jacob Kwaku Nkrumah, Samuel Passim Assam
Summary: Whole-body vibration (WBV) is a concern for vehicle users, and effective vibration isolation is critical in vehicle suspension design. Air springs have proven advantageous for vibration isolation due to their ability to adjust frequencies and stiffness. Pneumatic suspension has undergone significant advancements in the automotive industry and offers functional flexibility and a wide range of control options.
SHOCK AND VIBRATION
(2023)
Article
Acoustics
Feng Wang, Tonglie Wu, Xing Xu, Yingfeng Cai, Yi-Qing Ni
Summary: This paper presents a novel nonlinearity-considered regenerative brake torque compensation control strategy that aims to enhance the brake stability for plug-in hybrid electric vehicles (PHEVs) with dual-motor powertrain. By establishing dynamics models and utilizing the grey wolf optimizer for optimization, the control of half-shaft torque fluctuation is achieved, resulting in significant improvement as demonstrated in hardware-in-the-loop testing.
JOURNAL OF VIBRATION AND CONTROL
(2023)
Article
Automation & Control Systems
Feng Wang, Jiaqi Xia, Xiaoyuan Zhu, Xing Xu, Yi-Qing Ni
Summary: This article presents a real-time predictive energy management strategy with mode transition frequency constraints to improve the energy efficiency of plug-in hybrid electric vehicles. It ensures low mode transition frequency and high calculation efficiency.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2023)
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)
