Reliability analysis for manufacturing system of drive shaft based on dynamic Bayesian network

IF 2.2 3区工程技术 Q3 ENGINEERING, INDUSTRIAL

Quality and Reliability Engineering International Pub Date : 2024-08-22 DOI:10.1002/qre.3644

Taotao Cheng, Diqing Fan, Xintian Liu, JinGang Wang

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引用次数: 0

Abstract

Accurately analyzing the reliability of driveshaft systems is crucial in engineering vehicles and mechanical equipment. A complex system reliability modeling and analysis method based on a dynamic Bayesian network (DBN) is proposed to repair accurately and reduce the cost in time. Considering the logical structure of the drive shaft system, the reliability block diagram (RBD) of the manufacturing system is constructed in a hierarchical and graded manner, and a method of obtaining the Bayesian network (BN) directly from the RBD is adopted based on the conversion relationship between the RBD, fault tree and BN. A variable‐structure DBN model of the system is constructed based on a static BN extended in time series and incorporating dynamic reliability parameters of the components. Reliability analyses based on DBN reasoning, including reliability assessment, significance metrics, and sensitivity analyses, were performed to identify critical subsystems and critical components. This research contributes to enhancing product reliability, equipment utilization, and improving economic efficiency.

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基于动态贝叶斯网络的传动轴制造系统可靠性分析

准确分析传动轴系统的可靠性对车辆和机械设备工程至关重要。本文提出了一种基于动态贝叶斯网络（DBN）的复杂系统可靠性建模和分析方法，以实现精确维修并降低时间成本。考虑到传动轴系统的逻辑结构，分层分级构建了制造系统的可靠性框图（RBD），并根据 RBD、故障树和 BN 之间的转换关系，采用直接从 RBD 中获取贝叶斯网络（BN）的方法。基于时间序列扩展的静态贝叶斯网络，并结合部件的动态可靠性参数，构建了系统的变结构 DBN 模型。基于 DBN 推理的可靠性分析包括可靠性评估、重要性度量和敏感性分析，以确定关键子系统和关键组件。这项研究有助于提高产品可靠性、设备利用率和经济效益。

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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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.