Fault diagnosis strategy of CNC machine tools based on cascading failure

• Published in: Journal of intelligent manufacturing Vol. 30; no. 5; pp. 2193 - 2202
• Main Authors: Zhang, Yingzhi, Mu, Liming, Shen, Guixiang, Yu, Yang, Han, Chenyu
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.06.2019; Springer Nature B.V
• Subjects: Advanced manufacturing technologies; Algorithms; Business and Management; Control; Failure; Failure analysis; Fault diagnosis; Graph theory; Intelligent systems; Machine tools; Machines; Manufacturing; Mechatronics; Numerical controls; Processes; Production; Propagation; Robotics; Search engines; Strategy; Structural hierarchy; Fault diagnosis; PageRank; ISM; Johnson; CNC machine tools
• ISSN: 0956-5515; 1572-8145
• DOI: 10.1007/s10845-017-1382-7

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.