Reliability allocation method for remanufactured machine tools based on neural network and remanufacturing factor

被引：0
|
作者：
Du Y. [1 ,2 ]
Wu G. [2 ,3 ]
Xu L. [1 ]
机构：
[1] Chongqing Municipal Key Laboratory of Manufacturing Equipment Mechanism Design and Control, Chongqing Technology and Business University, Chongqing
[2] National Research Base of Intelligent Manufacturing Service, Chongqing Technology and Business University, Chongqing
[3] School of Management Science and Engineering, Chongqing Technology and Business University, Chongqing
来源：
Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS | 2021年 / 27卷 / 04期
基金：
中国国家自然科学基金;
关键词：
Fault tree model; Neural network; Reliability allocation; Remanufactured machine tools; Remanufacturing factors;
D O I：
10.13196/j.cims.2021.04.009
中图分类号：
学科分类号：
摘要：
To guarantee and improve the reliability of remanufactured machine tools, a reliability allocation method based on neural network and remanufacturing factor was proposed. According to the principle of reliability allocation level by level, the fault tree model of remanufactured machine tools was established, and the faults of remanufactured machine tools were divided into system-level, subsystem-level and part-level. The three-layer feedforward neural network was trained to allocate system reliability to subsystem-level. Remanufacturing factors were determined based on multi-hierarchy fuzzy assessment, and a reliability allocation method combining remanufacturing factors and probability importance was proposed to allocate reliability from subsystem-level to part-level. Taking the remanufacturing of NC gearhobbing machine as an engineering example, the reliability target was allocated to each component of the remanufactured gearhobbing machine. The result showed that the method could ensure the reliability of the remanufactured machine tools and improve their reliability. © 2021, Editorial Department of CIMS. All right reserved.
引用
收藏
页码：1052 / 1061
页数：9
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