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Journal of Intelligent Manufacturing

, Volume 30, Issue 5, pp 2193–2202 | Cite as

Fault diagnosis strategy of CNC machine tools based on cascading failure

  • Yingzhi Zhang
  • Liming Mu
  • Guixiang ShenEmail author
  • Yang Yu
  • Chenyu Han
Article
  • 205 Downloads

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 

Notes

Acknowledgements

This work is supported by Jilin Provincial Natural Science Foundation of China (Grant No. 20150101025JC), and the Demonstration and application of high speed precision electric spindle in middle and top grade numerical control machine tools (Grant No. 2015ZX04005005). Any support from a third party has been noted in the Acknowledgements.

Compliance with ethical standards

Conflict of interest

The authors declared that there is no potential conflict of interest in the research.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2017

Authors and Affiliations

  1. 1.College of Mechanical Science and EngineeringJilin UniversityChangchunChina

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