基于证据的数控机床液压系统故障树分析

IF 2.2 3区工程技术 Q3 ENGINEERING, INDUSTRIAL

Quality and Reliability Engineering International Pub Date : 2024-05-20 DOI:10.1002/qre.3581

Hong‐Xia Chen, Sui‐Xin Xie, Jun‐Feng Zhang, Wang‐Hao Chen, Bo Niu, Jiao‐Teng Zhang

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引用次数: 0

摘要

液压系统是数控机床不可分割的一部分。在分析机床液压系统的可靠性时，其故障会受到已知不确定性和认识不确定性的影响。本文利用故障树分析方法来处理受认识不确定性影响的故障模式，并使用区间粗略数评分法来评估此类故障发生的概率。由此计算出的可靠性称为 "主观可靠性"。对于受已知不确定性影响的失效模式，则采用与 Dempster-Shafer 证据理论相结合的客观数据来确定其失效概率，相应的可靠性计算称为 "客观可靠性"。最后，对主观可靠性和客观可靠性进行综合计算，确定液压系统的整体可靠性，以及故障树基本事件的重要性排序。该方法涵盖了小样本、充足数据及其组合的情况，具有广泛的应用前景。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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

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.

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来源期刊

Quality and Reliability Engineering International 管理科学-工程：工业

CiteScore

4.90

自引率

21.70%

发文量

181

审稿时长

6 months

期刊介绍： Quality and Reliability Engineering International is a journal devoted to practical engineering aspects of quality and reliability. A refereed technical journal published eight times per year, it covers the development and practical application of existing theoretical methods, research and industrial practices. Articles in the journal will be concerned with case studies, tutorial-type reviews and also with applications of new or well-known theory to the solution of actual quality and reliability problems in engineering. Papers describing the use of mathematical and statistical tools to solve real life industrial problems are encouraged, provided that the emphasis is placed on practical applications and demonstrated case studies. The scope of the journal is intended to include components, physics of failure, equipment and systems from the fields of electronic, electrical, mechanical and systems engineering. The areas of communications, aerospace, automotive, railways, shipboard equipment, control engineering and consumer products are all covered by the journal. Quality and reliability of hardware as well as software are covered. Papers on software engineering and its impact on product quality and reliability are encouraged. The journal will also cover the management of quality and reliability in the engineering industry. Special issues on a variety of key topics are published every year and contribute to the enhancement of Quality and Reliability Engineering International as a major reference in its field.