Fault diagnosis strategy of CNC machine tools based on cascading failure

Yingzhi Zhang, Liming Mu, Guixiang Shen (), Yang Yu and Chenyu Han
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Yingzhi Zhang: Jilin University
Liming Mu: Jilin University
Guixiang Shen: Jilin University
Yang Yu: Jilin University
Chenyu Han: Jilin University

Journal of Intelligent Manufacturing, 2019, vol. 30, issue 5, No 8, 2193-2202

Abstract: Abstract To ensure the safe operation of CNC machines, a fault diagnosis strategy based on cascading failure is proposed. According to fault mechanism analysis, a directed graph model of fault propagation between components in machine tool systems is established. In this study, the interpretative structural model method is used to realize the hierarchical structure of fault propagation model by matrix transformation and decomposition. Subsequently, the PageRank algorithm is introduced to evaluate the failure effects of the machine tool system components. The Johnson method is then applied to correct the component fault sequence and establish the model of rate of occurrence of failures that is based on time correlation. Finally, the fault diagnosis strategy is formulated through the component rate of the occurrence of failure, fault influence and fault propagation model, to identify the main cause of the fault and provide the basis for fault diagnosis. In the end, a machine tool equipment is used as an example for application to verify the validity of the method.

Keywords: CNC machine tools; Fault diagnosis; Johnson; ISM; PageRank (search for similar items in EconPapers)
Date: 2019
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DOI: 10.1007/s10845-017-1382-7

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