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RESEARCH PAPER
Key fault propagation path identification of CNC machine tools based on maximum occurrence probability
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Mo Sun 1
 
 
 
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1.Key Laboratory of Reliability of CNC Equipment, Ministry of Education, Changchun 130022 2. School of Mechanical and Aerospace Engineering, Jilin University, Changchun 130022, China
 
2
China FAW Group Co., LTD. NEV Inst., China
 
 
Submission date: 2023-04-19
 
 
Final revision date: 2023-06-19
 
 
Acceptance date: 2023-07-21
 
 
Online publication date: 2023-07-30
 
 
Publication date: 2023-07-30
 
 
Corresponding author
Zhiqiong Wang   

1.Key Laboratory of Reliability of CNC Equipment, Ministry of Education, Changchun 130022 2 School of Mechanical and Aerospace Engineering, Jilin University, Changchun 130022, China
 
 
Eksploatacja i Niezawodność – Maintenance and Reliability 2023;25(3):169887
 
HIGHLIGHTS
  • The dynamic nature of fault propagation is considered.
  • Dynamic identification method of key fault propagation path is proposed.
  • The maximum occurrence probability model is established.
  • This method is proved to be rationality compared with the traditional method.
  • Provide a foundation for reliability analysis and maintenance strategies development.
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ABSTRACT
In order to revise the deviation caused by ignoring the dynamic character of fault propagation in traditional fault propagation path identification methods, a method based on the maximum occurrence probability is proposed to identify the key fault propagation path. Occurrence probability of fault propagation path is defined by dynamic importance, dynamic fault propagation probability and fault rate. Taking the fault information of CNC machine tools which subject to Weibull distribution as an example, this method has been proven to be reasonable through comparative analysis. Result shows that the key fault propagation path of CNC machine tools is not unique, but changes with time. Before 1000 hours, key fault propagation path is electrical component (E) to mechanical component (M); after 1000 hours, key fault propagation path is auxiliary component (A) to mechanical component (M). This change should be taken into account when developing maintenance strategies and conducting reliability analysis.
 
CITATIONS (2):
1.
Failure prediction of mechanical system based on meta‐action
Yan Ran, Jingjie Chen, Nafis Jawyad Sagor, Genbao Zhang
Quality and Reliability Engineering International
 
2.
A fault hierarchical propagation reliability improvement method for CNC machine tools based on spatiotemporal factors coupling
Congbin Yang, Yongqi Wang, Jun Yan, Zhifeng Liu, Tao Zhang
Reliability Engineering & System Safety
 
eISSN:2956-3860
ISSN:1507-2711
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