Evidence‐based fault tree analysis of the hydraulic system in CNC machine tools

• Published in: Quality and reliability engineering international Vol. 40; no. 6; pp. 3141 - 3160
• Main Authors: Chen, Hong‐Xia, Xie, Sui‐Xin, Zhang, Jun‐Feng, Chen, Wang‐Hao, Niu, Bo, Zhang, Jiao‐Teng
• Format: Journal Article
• Language: English
• Published: Bognor Regis Wiley Subscription Services, Inc 01.10.2024
• Subjects: aleatory uncertainty; epistemic uncertainty; evidence theory; Failure; Failure analysis; Failure modes; Fault tree analysis; Hydraulic equipment; hydraulic system in CNC machine tools; Hydraulics; Machine tools; Numerical controls; rough number; System reliability; Uncertainty analysis
• ISSN: 0748-8017; 1099-1638
• DOI: 10.1002/qre.3581

The hydraulic system is an integral part of CNC machine tools. In analyzing the reliability of machine tool hydraulic systems, their failures are influenced by both aleatory and epistemic uncertainties. This paper utilizes the fault tree analysis method to address failure modes subject to epistemic uncertainty, using the interval rough number scoring method to evaluate the probability of such failures occurring. The resulting reliability calculation is termed as “subjective reliability”. For failure modes influenced by aleatory uncertainty, objective data combined with the Dempster–Shafer evidence theory is used to determine their failure probability, with the corresponding reliability calculation referred to as “objective reliability”. Finally, a comprehensive calculation of both subjective and objective reliability is conducted to determine the overall reliability of the hydraulic system, along with the ranking of the importance of basic events of fault tree. This methodology covers scenarios with small samples, sufficient data, and their combinations, offering extensive application prospects.