Meta-action-oriented Reliability Allocation Method of Mechanical Transmission Systems

被引:2
|
作者
Chen Y. [1 ,2 ]
Zhang G. [1 ,2 ,3 ]
Ran Y. [1 ,2 ]
Li Y. [1 ,2 ]
Yu H. [1 ,2 ]
机构
[1] College of Mechanical Engineering, Chongqing University, Chongqing
[2] State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing
[3] College of Mechanical Engineering, Chongqing University of Arts and Sciences, Chongqing
关键词
Low-rank approximations (LRA); Mechanical transmission system; Meta-action; Reliability allocation; Sobol' method;
D O I
10.3969/j.issn.1004-132X.2021.17.003
中图分类号
学科分类号
摘要
A reliability allocation method for mechanical transmission systems was proposed to quantify the uncertainty, aimed at the uncertainty in the reliability allocation of mechanical transmission systems. The minimum granularity of reliability allocation (i.e. meta-action) in transmission systems was extracted by the decomposition method of "function-motion-action (FMA)". A method for calculating the sensitivity of the transmission systems was proposed based on the Sobol' of LRA according to the reliability mathematical model of meta-action, which quantified the reliability sensitivity of meta-actions in the transmission systems, and the key meta-actions that affected the reliability of transmission systems were identified. The mapping relationship between the meta-action and the system reliability was established, and the mapping results were solved. The application results show that the method has high calculation accuracy and provides guidance for the reliability allocation of mechanical transmission systems. © 2021, China Mechanical Engineering Magazine Office. All right reserved.
引用
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页码:2032 / 2039
页数:7
相关论文
共 28 条
  • [1] WU X, WU X, BALAKRISHNAN N., Reliability Allocation Model and Algorithm for Phased Mission Systems with Uncertain Component Parameters Based on Importance Measure, Reliability Engineering & System Safety, 180, pp. 266-276, (2018)
  • [2] CATELANI M, CIANI L, PATRIZI G, Et al., Reliability Allocation Assessment Using MEOWA Method in Complex Redundant Systems, 2nd Annual IEEE International Symposium on Systems Engineering (ISSE), pp. 253-257, (2016)
  • [3] CATELANI M, CIANI L, PATRIZI G, Et al., Reliability Allocation Procedures in Complex Redundant Systems, IEEE Systems Journal, 12, 2, pp. 1182-1192, (2018)
  • [4] YANG Z, LIU P, ZHU Y, Et al., A Comprehensive Reliability Allocation Method for Series Systems Based on Failure Mode and Effects Analysis Transformed Functions, Proceedings of the Institution of Mechanical Engineers Part B-Journal of Engineering Manufacture, 230, 12, pp. 2239-2248, (2016)
  • [5] WANG H, ZHANG Y M, YANG Z, Et al., Investigation on the Multifactor Reliability Allocation Method for CNC Lathes Based on Modified Criticality and Objective Information, Proceedings of the Institution of Mechanical Engineers Part C-Journal of Mechanical Engineering Science, 232, 9, pp. 1647-1656, (2018)
  • [6] LIU Y, FAN J, MU D., Reliability Allocation Method Based on Multidisciplinary Design Optimization for Electromechanical Equipment, Proceedings of the Institution of Mechanical Engineers Part C-Journal of Mechanical Engineering Science, 229, 14, pp. 2573-2585, (2015)
  • [7] HONG Z, FENG Y, LI Z, Et al., Reliability-based and Cost-oriented Product Optimization Integrating Fuzzy Reasoning Petri Nets, Interval Expert Evaluation and Cultural-based DMOPSO Using Crowding Distance Sorting, Applied Sciences, 7, 8, pp. 1-21, (2017)
  • [8] HABIB M, YALAOUI F, CHEHADE H, Et al., Multi-objective Design Optimisation of Repairable k-out-of-n Subsystems in Series with Redundant Dependency, International Journal of Production Research, 55, 23, pp. 7000-7021, (2017)
  • [9] ZHANG Qiang, LI Jian, XIE Liyang, Et al., Integrated Factor Reliability Allocation Method Considering Influences of Two-layer Factors, China Mechanical Engineering, 30, 19, pp. 2301-2305, (2019)
  • [10] WANG Hao, ZHANG Yimin, YANG Zhou, Et al., Multi-factor Reliability Allocation Method of CNC Lathes Considering Failure Correlation, Journal of Harbin Institute of Technology, 49, 7, pp. 93-99, (2017)