Liu Zhenxing

Wuhan University of Science and Technology

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i-10 index

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Co-Authors

Yong Zhang

Wuhan University of Science and Technology

Jiying Wang

Sichuan University

Li Cui

Jiaxing Hengchuang Electric Design and Research Institute

Min Zhao

Nanjing University of Aeronautics and Astronautics

Xianggen Yin

Huazhong University of Science and Technology

Botao Zhang

Wuhan University of Science and Technology

Li Chai

Zhejiang University

Longzhang Ke

Huanggang Normal University

Ge Wang

University of Science and Technology Beijing

Wanchun Dou

Nanjing University

Cooperative Institutions

Wuhan University of Science and Technology

Wuhan University of Technology

University of Electronic Science and Technology of China

Nanjing University of Aeronautics and Astronautics

Chongqing University

Zhejiang University of Technology

Shanghai Jiao Tong University

University of Waterloo

Beijing Institute of Technology

Sichuan University

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Research on fault diagnosis of rolling bearing based on Variational Mode Decomposition and Hilbert envelope spectrum analysis

2022 34th Chinese Control and Decision Conference (CCDC) (2024)

Yuanye Liu Zhenxing

Envelope (radar)

Mode (computer interface)

10.1109/ccdc62350.2024.10587534

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An analysis method of gear fault diagnosis based on Chirp-Z transform and local mean decomposition

Jiying Wang Liu Zhenxing Jiquan Hu Chenrui Li

A combined fault diagnosis method based on the CZT (Chirp-Z transform) and LMD (Local mean decomposition) marginal spectrum is proposed in consideration of the complex nonlinearities and non-stationary properties presented by the fault vibration signal in the gear. In this method, the original vibration signal is initially decomposed through LMD into several stationary PF (product function) components with physical meaning, and then the PF components that contain main fault information are selected for CZT local zoom analysis. The LMD marginal spectrum is determined by calculation of instantaneous amplitude and frequency information of each PF to characterize the overall distribution of fault signals. The results of the experiment research on the simulated signals and the gear crack faults indicate that with high fault recognition rate, the combined fault diagnosis method can be adopted to reflect the characteristics in variation and distribution of fault signals both from local and overall perspectives.

Chirp

10.1109/chicc.2015.7260615

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Citations (2)

Analysis of Monitoring and Diagnostic Approach for Eccentricity and Commutating Faults in DC Motors

Journal of Wuhan Yejin University of Science and Technology (2004)

Min Zhao Liu Zhenxing Xianggen Yin Zhe Zhang

DC drive,one of the most important driving ways,is widely used in the industrial drive field. The state of DC motor used in the drive system is directly related to normal production.Therefore it is very significant to popularize on-line monitoring and diagnosis of DC motors. Based on theoretical analysis, a monitoring and diagnostic approach using electrical quantities for usual eccentricity and commutating spark faults is proposed in this paper. The result presented has laid a foundation for further development of monitoring and diagnostic equipment.

Condition Monitoring

Eccentricity (behavior)

Line (geometry)

Foundation (evidence)

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Research of Bi-directional Motion Estimation for Frame Rate Up and Hardware Structure

Electronics & Packaging (2010)

Liu Zhenxing

In order to resolve the ghosting in image displayed on liquid TV,and image flicker,this paper present a bidirectional predict algorithm to improve frame up.Using experience threshold value with bilateral motion estimation to decrease the error in interpolated frames for frame up,block artifacts and hole problem.This paper also compare full search method and three steps search method by their arithmetic expenses,explain how to using three steps search to realize motion estimation and motion compensation,and present the hardware structure to implement this algorithm.Using image series to test this algorithm by software simulate,provide a better evaluate objectively.

Ghosting

Frame rate

Inter frame

Quarter-pixel motion

Source

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A QoS-Aware Service Optimization Method Based on History Records and Clustering

Shunmei Meng Liu Zhenxing Wanchun Dou

The number of alternative Web services that provide the same functionality but differ in non-functional characteristics, i.e., Quality of Service (QoS) parameters is more and more larger, and the service providers could not always deliver their "promised" quality. In view of this challenge, we propose a QoS-aware service optimization method based on history records and clustering, named QHRC. In this method, we take advantage of the history records of services' past performance quality rather than using the tentative QoS values provided by the service providers. And an adaptive hierarchical fuzzy clustering algorithm named H2D-SC algorithm is adopted to cluster the QoS history records for each Web service, then using the centroids of the subclusters to generate QoS history-record based composition plans. Our method aims at ranking the service composition plans by the corresponding QoS history-record based composition plans to select a most qualified service composition plan. At last, we assess the efficiency of the proposed method with an example and experiments.

10.1109/cgc.2012.66

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Citations (4)

Fault detection of networked multi-rate systems with probabilistic sensor failures

2022 34th Chinese Control and Decision Conference (CCDC) (2017)

Yong Zhang Weijia Huang Tang Luyang Liu Zhenxing Min Zhao

In this paper, the fault detection problem is investigated for a class of networked multi-rate systems (NMSs) with network-induced probabilistic sensor failures. By applying the lifting technique, the system model for the observer-based fault detection is established. With the aid of the stochastic analysis approach, sufficient conditions are established under which the stochastic stability of the error dynamics is guaranteed and the prescribed H _∞ performance constraint is achieved. Based on the established conditions, the addressed fault detection problem of NMSs is recast as a convex optimization one that can be solved via the semi-definite program method, and the explicit expression of the desired fault detection filter is derived by means of the feasibility of certain matrix inequalities. Finally, an simulation example is utilized to illustrate the effectiveness of the proposed fault detection method.

Observer (physics)

10.1109/ccdc.2017.7978954

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Citations (0)

Reaction Torque of Gas Foil Journal Bearing with Misalignment

IOP Conference Series Materials Science and Engineering (2019)

Liu Zhenxing Yanming Wei Ge Wang Yuntian Cong Lei Chen

In a rotor gas foil bearing system, zero misalignment can usually not be ensured for assembly errors or creep deformation of the base. The tilting attitude of the journal makes lubricant performance worse. To study the performance of a gas foil journal bearing with misalignment, effect of misalignment on gas film thickness is introduced into the lubrication model. The two typical misalignment attitudes of the journal were defined as radial tilting and tangential tilting. The results show that reaction torques increase with the tilting angle of the journal. A larger eccentricity leads to a larger reaction torque. This work provides a reference for prediction about the self-action of gas foil journal bearing for misalignment.

Foil bearing

Friction torque

Eccentricity (behavior)

10.1088/1757-899x/542/1/012015

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Citations (1)

Finite element modelling of rotor considering the variation of Yang's modulus with axial temperature distribution

Zhendong yu chongji (2012)

Peng He Zhansheng Liu Liu Zhenxing

Based on the second order polynomial variation of Yang's modulus with temperature,the stiffness matrix of a rotor finite element model was derived,considering the influence of axial temperature distribution of the rotor.The rotor model was analyzed under the uniform distribution,linear distribution and second polynomial distribution of temperature and the variation of first two critical speeds were discussed.Results show that,with the consideration of the influence of axial temperature distribution on rotor stiffness matrix,the model improves the expected results of rotor critical speeds when the rotor is working at high temperature.

Matrix (chemical analysis)

Critical speed

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Citations (1)

A self-adaptive analysis method of fault diagnosis in roller bearing based on Local mean decomposition

2022 34th Chinese Control and Decision Conference (CCDC) (2014)

Jiying Wang Liu Zhenxing

In view of the nonlinear and non-stationary characteristics of fault vibration signal in roller bearing, a self-adaptive fault diagnosis method known as LMD (Local mean decomposition) is proposed. Initially the original vibration signal is decomposed into several stationary PF (product function) which possessed physical meaning and a residual component by using of LMD. Subsequently, the main components in fault signal are determined by calculation of correlation factor of each PF with the original signal aiming at obtaining amplitude and frequency information. LMD is applied in analysis of simulation signals and fault diagnosis of bearing outer-race. The results indicate that LMD method of fault diagnosis in roller bearing is equipped with high fault recognition and identification rate. The characteristics of mechanical fault signals can be effectively extracted.

SIGNAL (programming language)

Roller bearing

10.1109/ccdc.2014.6852148

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Citations (5)

Improved Particle Swarm to Nonlinear Blind Source Separation

Wei Yu Liu Zhenxing LI Chang-hai

This paper propose the nonlinear blind source separation algorithm using improved particle swarm optimization (PSO) combined with natural gradient algorithm. The model of nonlinear blind source separation (NBSS) is built which the nonlinear transfer function is simulate by the P-th order polynomial function. At the same time, Based on the character of particle swarm optimization (PSO), "migrating operator" and local area deep-searching is introduce into PSO. Then, the parameters of the P-th order polynomial function is estimated by PSO. Experimental results indicate that tire established algorithm of PSO can quickly and effectively get optimal resolution to the nonlinear blind source separation.

10.1109/mape.2007.4393468

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Citations (8)