MACHINERY

作品数：352被引量：670H指数：10
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Sparse Autoencoder-based Multi-head Deep Neural Networks for Machinery Fault Diagnostics with Detection of Novelties被引量：2
《Chinese Journal of Mechanical Engineering》2021年第3期146-157,共12页Zhe Yang Dejan Gjorgjevikj Jianyu Long Yanyang Zi Shaohui Zhang Chuan Li 
Supported by National Natural Science Foundation of China(Grant Nos.52005103,71801046,51775112,51975121);Guangdong Province Basic and Applied Basic Research Foundation of China(Grant No.2019B1515120095);Intelligent Manufacturing PHM Innovation Team Program(Grant Nos.2018KCXTD029,TDYB2019010);MoST International Cooperation Program(6-14).
Supervised fault diagnosis typically assumes that all the types of machinery failures are known.However,in practice unknown types of defect,i.e.,novelties,may occur,whose detection is a challenging task.In this paper,...
关键词：Deep learning Fault diagnostics Novelty detection Multi-head deep neural network Sparse autoencoder 
Particle Swarm Optimization-Support Vector Machine Model for Machinery Fault Diagnoses in High-Voltage Circuit Breakers被引量：11
《Chinese Journal of Mechanical Engineering》2020年第1期104-113,共10页Xiaofeng Li Shijing Wu Xiaoyong Li Hao Yuan Deng Zhao 
Supported by National Natural Science Foundation of China(Grant No.51705372);National Science and Technology Project of the Power Grid of China(Grant No.5211DS16002L).
According to statistic data,machinery faults contribute to largest proportion of High-voltage circuit breaker failures,and traditional maintenance methods exist some disadvantages for that issue.Therefore,based on the...
关键词：HIGH-VOLTAGE circuit BREAKER MACHINERY fault diagnosis WAVELET PACKET decomposition Support vector machine 
Adaptive Change Detection for Long-Term Machinery Monitoring Using Incremental Sliding-Window
《Chinese Journal of Mechanical Engineering》2017年第6期1338-1346,共9页Teng Wang Guo-Liang Lu Jie Liu Peng Yan 
Supported by National Natural Science Foundation of China(Grant Nos.61403232,61327003);Shandong Provincial Natural Science Foundation of China(Grant No.ZR2014FQ025);Young Scholars Program of Shandong University,China(YSPSDU,2015WLJH30)
Detection of structural changes from an opera- tional process is a major goal in machine condition moni- toring. Existing methods for this purpose are mainly based on retrospective analysis, resulting in a large detec...
关键词：Machine monitoring Change detection Long-term monitoring Adaptive threshold 
Comprehensive Overview on Computational Intelligence Techniques for Machinery Condition Monitoring and Fault Diagnosis被引量：18
《Chinese Journal of Mechanical Engineering》2017年第4期782-795,共14页Wan Zhang Min-Ping Jia Lin Zhu Xiao-An Yan 
Supported by National Natural Science Foundation of China(Grant No.51675098)
Computational intelligence is one of the most powerful data processing tools to solve complex nonlinear problems, and thus plays a significant role in intelligent fault diagnosis and prediction. However, only few com-...
关键词：Computational intelligence Machinerycondition monitoring Fault diagnosis Neural networkFuzzy logic Support vector machine - Evolutionaryalgorithms 
Feature Extraction Method Based on Pseudo-Wigner-Ville Distribution for Rotational Machinery in Variable Operating Conditions被引量：9
《Chinese Journal of Mechanical Engineering》2011年第4期661-668,共8页WANG Huaqing LIKe SUN Hao CHEN Peng 
supported by National Natural Science Foundation of China (Grant No. 50875016, 51075023);Fundamental Research Funds for the Central Universities of China (Grant No. JD0903, JD0904)
In the case of fault diagnosis for roller bearings, the conventional diagnosis approaches by using the time interval of energy impacts in time-frequency distribution or the pass-frequencies are based on the assumption...
关键词：feature extraction pseudo-wigner-ville distribution variable operating condition sequential diagnosis 
WVAELET TRANSFORM IN TANDEM WITH AUTOREGRESSIVE TECHNIQUE FOR MONITORING AND DIAGNOSIS OF MACHINERY
《Chinese Journal of Mechanical Engineering》1996年第4期311-317,共2页He Zhengjia Zhao Jiyuan Meng Qingfeng (Xi’an Jiaotong University) 
A new approach is advanced based on wavelet transform in tandem with autoregressive technique. Wavelets and wavelet packets decompose dynamic signal into different bands and pro- vide multiresolution or multiscale vie...
关键词：Wavelet transform Wavelet packets Autoregressive technique Monitoring Diag- nosis 
OPTIMUM CONTROL OF VIBRATION AND STRUCTURE－BORNE NOISE FOR MACHINERY ON FLEXIBLE FOUNDATION被引量：4
《Chinese Journal of Mechanical Engineering》1996年第1期13-20,共3页Xiong Yeping  Song Kongjie Wang Chun ( Shandong University of Technology) 
Faced with the key problems of machinerv- induced vibration and structure-borne noise when dynamic machines are mounted on flexible foundations such as upper floors of facto- ry buildings, the vibration and...
关键词：Power flow Structure-borne nosie Flexible subsystems Optimum control 
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