Article
Engineering, Mechanical
Zong Meng, Fulin Wang, Guixia Shi
Summary: This study presents a new pitting model and computationally investigates the influence of different pitting degrees on the time-varying meshing stiffness of gears. Experimental results demonstrate the effectiveness of the proposed approach in assessing the gear condition.
ENGINEERING FAILURE ANALYSIS
(2021)
Article
Engineering, Mechanical
Zaigang Chen, Jieyu Ning, Kaiyun Wang, Wanming Zhai
Summary: This study investigates the impact of gear tooth profile deviations on gear transmissions and how to accurately calculate gear mesh forces. A dynamic model for spur gears considering detailed deformations of individual teeth is proposed, validated, and optimized. Comparison with traditional models offers theoretical guidance for selecting gear dynamic models.
NONLINEAR DYNAMICS
(2021)
Article
Engineering, Mechanical
Lantao Yang, Liming Wang, Wennian Yu, Yimin Shao
Summary: This paper proposes an improved mesh stiffness calculation model for cracked gears, considering the crack opening state by re-evaluating the effective compression section and the neutral layer. The study shows that the proposed model achieves higher accuracy compared to the traditional model, with increasing precision as the crack grows.
ENGINEERING FAILURE ANALYSIS
(2021)
Article
Mathematics
Jingyu Hou, Shaopu Yang, Qiang Li, Yongqiang Liu
Summary: This study investigates a new pitting model for predicting fluctuation in mesh stiffness, providing dynamic characteristics, and supporting gear condition monitoring and fault diagnosis.
Article
Acoustics
Shenghua Xie, Qungui Du, Yuhang Hu
Summary: The influence of misalignment errors on the dynamic behavior of gear systems was studied by analyzing a dynamic model. The results showed that the time-varying property of misalignment errors led to richer nonlinear characteristics in the model and increased the likelihood of sub-harmonic resonance and contact loss.
JOURNAL OF VIBRATION AND CONTROL
(2023)
Article
Engineering, Mechanical
Jieyu Ning, Zaigang Chen, Yawen Wang, Yifan Li, Wanming Zhai
Summary: Gear tooth root crack is a typical fault in gear transmissions that poses a threat to operational safety. Detecting and understanding the severity of these cracks is crucial for preventing accidents. This study introduces an improved gear dynamics model to accurately model non-uniform distribution of tooth root cracks and their impact on vibration characteristics, providing important insights for quantitative detection and diagnosis of such faults.
ENGINEERING FAILURE ANALYSIS
(2021)
Article
Acoustics
Yi Yang, Jinyuan Tang, Niaoqing Hu, Guoji Shen, Yuehao Li, Lun Zhang
Summary: This study proposes a comprehensive time-varying mesh stiffness calculation method considering the crack position and emphasizes the influences of two tooth crack types. The applicability and accuracy of the method are validated using the finite element method, and the effects of crack on gear dynamic characteristics are investigated. Several statistic parameters are applied to evaluate the health conditions for the spur gear system.
JOURNAL OF SOUND AND VIBRATION
(2023)
Article
Engineering, Mechanical
Fanshan Meng, Heng Xia, Xin Zhang, Jiaxu Wang
Summary: A new tooth pitting modeling method based on matrix equation is proposed in this study, which can generate irregular shape pitting and customize the depth and shape accuracy of pits easily, making it more suitable for practical situations.
ENGINEERING FAILURE ANALYSIS
(2022)
Article
Engineering, Mechanical
Zhixian Shen, Laihao Yang, Baijie Qiao, Wei Luo, Xuefeng Chen, Ruqiang Yan
Summary: In this study, a model of mesh relationship with gear wear is established, and the vibration characteristics of gear wear are investigated. The results indicate that gear wear does not change the structure of the spectrum, but it alters the amplitude of the meshing frequencies and their sidebands. Several condition indicators can be used as important bases for judging the gear wear state.
FRONTIERS OF MECHANICAL ENGINEERING
(2022)
Article
Engineering, Mechanical
L. Gkimisis, G. Vasileiou, E. Sakaridis, C. Spitas, V. Spitas
Summary: This study presents an efficient single degree of freedom (SDOF) model that accurately captures the nonlinear characteristics of gear transmissions, including handling of meshing nonlinearities, gear contact reversal, and mesh stiffness modeling. The model allows for accurate numerical solutions and shows high agreement with literature data in both static and dynamic results, while maintaining minimal required pre-calculations and low computational cost.
MECHANISM AND MACHINE THEORY
(2021)
Article
Mechanics
Zong Meng, Guoqing Hao, Xiushen Pang, Yesen Jin, Jimeng Li, Fengjie Fan
Summary: The research proposes a modeling method for evaluating the time-varying meshing stiffness of gears with irregular-shaped pitting. This method allows the irregular-shaped pitting in analytical models to be matched with real objects and 3-D models in CAD software. The distribution and expansion of pitting are assumed to be 2-D normal distribution and random expansion. A complete system is developed considering the gear body structure coupling effect, nonlinear Hertzian contact stiffness, accurate transition curve, and tooth profile modification. The proposed method is validated and shown to be consistent with the finite element method in calculating the time-varying meshing stiffness.
Article
Mechanics
Zong Meng, Xiushen Pang, Guoqing Hao, Yesen Jin, Jimeng Li, Fengjie Fan
Summary: In this study, an irregular-shaped pitting model is constructed by the slicing method, and the calculation equations for time-varying meshing stiffness (TVMS) under the irregular pitting model are derived considering the effect of axial stiffness. A randomly distributed tooth surface pitting evolution model is established by the random pitting generation function, and the effects of different failure degrees of pitting on the TVMS are evaluated. The faulty helical gear pairs are simulated in Solidworks using the finite element method (FEM), confirming the effectiveness of the proposed irregular pitting evolution model and calculation method.
ARCHIVE OF APPLIED MECHANICS
(2023)
Article
Engineering, Mechanical
Lantao Yang, Qiang Zeng, Haishi Yang, Liming Wang, Guorong Long, Xiaoxi Ding, Yimin Shao
Summary: A new mesh stiffness calculation model for misaligned gears considering the effects of tooth contact state is proposed in this study. The influence of shaft misalignment on tooth contact state changes and gear system dynamic characteristics is investigated.
NONLINEAR DYNAMICS
(2022)
Article
Engineering, Mechanical
Guimian Liu, Fuhao Liu, Tao Ma, Hanjun Jiang, Chunguang Yang, Jielu Zhang
Summary: In this paper, a new nonlinear dynamic model for spur gear system considering dynamic force increment and velocity-dependent mesh stiffness is proposed to obtain the dynamic response. An original computational algorithm for calculating velocity-dependent mesh stiffness is developed and verified by finite element method. Numerical simulations are performed to analyze the steady-state solution and dynamic characteristics of the gear system, showing the nonlinear relationship between driving speed and time-varying mesh stiffness.
NONLINEAR DYNAMICS
(2023)
Article
Engineering, Mechanical
Ala Eddin Chakroun, Chaima Hammami, Ahmed Hammami, Ana De-Juan, Fakher Chaari, Alfonso Fernandez, Fernando Viadero, Mohamed Haddar
Summary: This study proposes a modeling approach for the Gear Mesh Stiffness (GMS) in polymer-metal gear systems. By considering the viscoelastic behavior of the polymer, a Generalized Maxwell Model (GMM) is used for modeling, and the Pole Zero Formulation (PZF) is employed for parameter identification. Numerical simulation results demonstrate the effectiveness of this approach on a pure Nylon 6,6-steel pinions, and the influence of temperature change on the gear system is investigated.
MECHANISM AND MACHINE THEORY
(2022)
Article
Engineering, Multidisciplinary
Qi Liu, Yanxue Wang, Yonggang Xu
Summary: A novel time-frequency analysis method called synchrosqueezing extracting transform has been proposed in this study, which can extract the time-varying information of nonstationary signals and achieve a better-concentrated time-frequency representation. This method has better noise robustness and lower time-consuming compared to traditional time-frequency analysis methods, as verified by the analysis of numerical signals.
Article
Engineering, Multidisciplinary
Meng Li, Yanxue Wang, Zhigang Chen, Jie Zhao
Summary: An intelligent fault diagnosis algorithm based on potential energy feature and adaptive transfer affinity propagation clustering was proposed in this work to identify fault types with a small amount of unlabeled fault data of rotating machinery. The algorithm can extract potential energy features from vibration signal's intrinsic mode functions and adjust parameters for different target domains with unlabeled data. The effectiveness of the proposed method has been verified on different test-rigs compared to traditional classification techniques.
MEASUREMENT SCIENCE AND TECHNOLOGY
(2021)
Article
Engineering, Mechanical
Jianbo Feng, Yanxue Wang, Jianwei Yang, Zhiquan Qi
Summary: This paper focuses on estimating the lateral velocity of a vehicle using a cost-effective 6D inertial measurement unit with an observer synthesis method. By integrating four sources from dynamics model, kinematics model, and LuGre tire model, the method provides smooth and accurate estimation of lateral velocity that is robust to sensor drifts and measurement noise.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING
(2021)
Article
Acoustics
Meng Li, Yanxue Wang, Chuyuan Wei
Summary: The study developed a novel intelligent diagnosis algorithm for rotating machinery, which combines adaptive transfer density peak search clustering and wavelet packet energy feature extraction algorithms to improve the accuracy and efficiency of mechanical fault diagnosis.
SHOCK AND VIBRATION
(2021)
Article
Engineering, Mechanical
Shuilong He, Keren Chen, Enyong Xu, Mingsong Ye, Yanxue Wang
Summary: This article introduces a rigid-flexible coupling calculation model and multi-platform integrated method to analyze and optimize the cab comfort of commercial vehicles. The study found that the front suspension is the most significant component affecting cabin comfort, and optimal suspension parameters were obtained using multi-objective genetic algorithm and multiverse optimizer.
JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY
(2021)
Article
Engineering, Civil
Xiaohui Wang, Jianwei Yang, Jinhai Wang, Yanxue Wang, Fu Liu
Summary: A method based on acceleration, the ATQI, is proposed to more accurately identify risks in high-speed railways by dynamically extracting sensitive information. Experimental results demonstrate that this method is more effective in predicting risks compared to conventional methods.
JOURNAL OF INFRASTRUCTURE SYSTEMS
(2021)
Article
Engineering, Electrical & Electronic
Cong Du, Yanxue Wang, Litao Xu, Xingwei Wang
Summary: This letter presents a novel fiber optic imaging transducer for solving ultrasound steering problems for photoacoustic imaging. The transducer design is explored and verified based on photoacoustic effect and Fabry-Perot principle. Experimental results show that the transducer has a higher depth of penetration on ex vivo swine back rib muscle-fat slices.
IEEE PHOTONICS TECHNOLOGY LETTERS
(2022)
Article
Engineering, Civil
Xiaohui Wang, Jianwei Yang, Yanping Du, Jinhai Wang, Yanxue Wang, Fu Liu
Summary: This paper proposes a new risk identification method based on the time-ordered weighted averaging operator and track quality index (TOWA-TQI), which enables real-time identification and early warning of the state of the high-speed railway track, ensuring its safety, stability, and comfort. Additionally, a center and radius clustering method is proposed for quick classification and precise location determination.
ASCE-ASME JOURNAL OF RISK AND UNCERTAINTY IN ENGINEERING SYSTEMS PART A-CIVIL ENGINEERING
(2022)
Article
Engineering, Multidisciplinary
Hanfang Dai, Yanxue Wang, Xuan Wang, Qi Liu
Summary: This paper applies the element analysis method to mechanical fault diagnosis for the first time and proposes a de-noising technique for rotating machinery signals based on the element analysis method. The method demonstrates excellent performance in signal characteristic extraction and fault diagnosis.
MEASUREMENT SCIENCE AND TECHNOLOGY
(2023)
Article
Engineering, Electrical & Electronic
Yonggang Xu, Liang Wang, Gang Yu, Yanxue Wang
Summary: In this study, a new time-frequency post-processing algorithm called generalized S-synchroextracting transform (GS-SET) is proposed to optimize the resolution of time-frequency representation. Through processing of both simulated signals and fault signals, it is demonstrated that the method has good accuracy and noise robustness.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2022)
Article
Engineering, Electrical & Electronic
Qi Liu, Yanxue Wang, Xuan Wang
Summary: The study proposes a two-step ACMD decomposition method, which first uses a recursive scheme to determine the number of components and then uses an iterative algorithm to achieve high-resolution component reconstruction. The method focuses on fault diagnosis of rolling bearing under variable speeds.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2021)
Article
Computer Science, Information Systems
Jie Zhao, Zhigang Chen, Yanxue Wang, Meng Li, Xinrong Zhong, Zhichuan Zhao
Summary: A multiple transient extracting transform has been proposed in this study to effectively detect transient information in signals and achieve a more concentrated time-frequency representation. The results from numerical simulation and practical vibration signal analysis demonstrate the effectiveness of this method in transient feature extraction compared to other advanced time-frequency methods.
Article
Computer Science, Information Systems
Jiawei Gu, Yanxue Wang, Chaofan Hu, Zexi Luo
Summary: The proposed GLLP algorithm utilizes the generalized Laplacian matrix and a new locally smooth term to address the issue of insufficient data and labels in mechanical fault diagnosis. The effectiveness of the method is demonstrated through validation on various datasets.
Article
Computer Science, Artificial Intelligence
Chaofan Hu, Shuilong He, Yanxue Wang
Summary: A novel classification technique utilizing kernelled support tensor machine (KSTM) and multilinear principal component analysis (MPCA) is introduced for fault detection of rotating machines. Through the use of a 3-way tensor, KSTM, and MPCA, the technique effectively handles fault diagnosis and information classification in rotating machinery.
APPLIED INTELLIGENCE
(2021)
Article
Engineering, Multidisciplinary
Haiyang Hu, Zhansi Jiang, Yanxue Wang, Shuilong He
INTERNATIONAL JOURNAL OF COMPUTING SCIENCE AND MATHEMATICS
(2020)
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)
