Fault Diagnosis and Maintain of Manufacturing Equipment Based on Vulnerability

doi:10.3901/JME.2020.23.141

Abstract

Abstract: Intelligent fault diagnosis and maintenance are the important tools to guarantee the healthy operation of the manufacturing system. In order to accurately diagnose the health status of manufacturing systems,identify key factors of equipment failures, and establish an efficient health maintenance system, a vulnerability-based method is proposed for the intelligent diagnosis and maintenance of equipment failures. In this method,the module of intelligent diagnosis and maintenance decision optimization,which the vulnerability of the manufacturing equipment is considered,is embedded into the Process control system(PCS) of the equipment. In order to judge the vulnerability state of the equipment timely, the definition of vulnerability and degradation theory are combined to establish a vulnerability assessment model. The Non-linear kernel mapping method is used to implement real-time monitoring of the operating parameters of manufacturing equipment,a Gaussian kernel function model of equipment parameters is established to accurately identify the key factors of failure. To avoid over-repair and under-maintenance,the equipment vulnerability status and maintenance mode are combined together to establish maintenance decision model. The results for a robot servo system indicate that the proposed method can improve the efficiency of fault diagnosis effectively,identify fault factors accurately, and optimize maintenance decision.

Key words: manufacturing equipment, vulnerability, fault diagnosis, maintenance

CLC Number:

TG156

GAO Guibing, WANG Junshen, YUE Wenhui, PENG Jianhua. Fault Diagnosis and Maintain of Manufacturing Equipment Based on Vulnerability[J]. Journal of Mechanical Engineering, 2020, 56(23): 141-149.

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