单部件加速退化系统的视情维修策略优化

doi:10.3969/j.issn.1001-506X.2020.03.015

系统工程与电子技术 ›› 2020, Vol. 42 ›› Issue (3): 613-619.doi: 10.3969/j.issn.1001-506X.2020.03.015

单部件加速退化系统的视情维修策略优化

陈闯^1,²(), 陆宁云^1,²(), 姜斌^1,²(), 邢尹³()

1. 南京航空航天大学自动化学院, 江苏南京 211106
2. 江苏省物联网与控制技术重点实验室, 江苏南京 211106
3. 河海大学地球科学与工程学院, 江苏南京 211100

收稿日期:2019-03-11 出版日期:2020-03-01 发布日期:2020-02-28
作者简介:陈闯(1992-),男,博士研究生,主要研究方向为复杂系统故障诊断、维护维修策略。E-mail:chenchuang@nuaa.edu.cn|陆宁云(1977-),女,教授,博士,主要研究方向为复杂系统数据驱动建模、故障诊断与预测。E-mail:luningyun@nuaa.edu.cn|姜斌(1966-),男,教授,博士,主要研究方向为智能故障诊断及容错控制。E-mail:binjiang@nuaa.edu.cn|邢尹(1992-),女,博士研究生,主要研究方向为变形监测理论及其应用。E-mail:xingyincc@163.com
基金资助:
国家自然科学基金(61873122);江苏高校优势学科建设工程

Optimization of condition-based maintenance strategy for single-unit accelerated degrading systems

Chuang CHEN^1,²(), Ningyun LU^1,²(), Bin JIANG^1,²(), Yin XING³()

1. College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
2. Jiangsu Key Laboratory of Internet of Things and Control Technologies, Nanjing University of Aeronautics andAstronautics, Nanjing 211106, China
3. School of Earth Sciences and Engineering, Hohai University, Nanjing 211100, China

Received:2019-03-11 Online:2020-03-01 Published:2020-02-28
Supported by:
国家自然科学基金(61873122);江苏高校优势学科建设工程

摘要/Abstract

摘要：

针对单部件加速退化系统,研究了基于灰色模型、偏最小二乘回归和改进灰狼算法的最优视情维修策略,通过优化检测间隔和临近失效阈值最小化系统的平均维修费用率。维修策略优化中,考虑到维修数据的稀疏特性,利用适合小样本建模的灰色模型理论建立系统的加速退化模型;考虑了维修次数、系统退化状态与系统维修用时之间的多重相关性,利用偏最小二乘法建立了维修用时的多变量回归模型。在此基础上,给出基于系统平均维修费用率的目标函数,利用改进灰狼算法求解最优决策变量。通过算例说明了该最优视情维修策略的可行性。

关键词: 视情维修, 策略优化, 加速退化系统, 灰色模型, 偏最小二乘法, 灰狼算法

Abstract:

Optimization of condition-based maintenance strategy is studied for single-unit accelerated degrading systems, to minimize the average maintenance cost rate, by setting the optimal inspection interval and the near-to-failure threshold. To handle the sparse maintenance data, the grey model theory is used to establish the accelerated degrading model of the system, as it is suitable for small-sample modeling. Considering that there exist multiple correlations among the number of previous repairs, the degradation state and the maintenance duration, the partial least square is used to establish a multivariable regression model. Then, the objective function based on average maintenance cost rate is given, and the improved grey wolf optimization method solves the optimal decision variables. Finally, a numerical example is given to illustrate the feasibility of the proposed optimization method of condition-based maintenance strategy.

Key words: condition-based maintenance, strategy optimization, accelerated degrading system, grey model, partial least square, grey wolf optimization algorithm

中图分类号:

N945.17

陈闯, 陆宁云, 姜斌, 邢尹. 单部件加速退化系统的视情维修策略优化[J]. 系统工程与电子技术, 2020, 42(3): 613-619.

Chuang CHEN, Ningyun LU, Bin JIANG, Yin XING. Optimization of condition-based maintenance strategy for single-unit accelerated degrading systems[J]. Systems Engineering and Electronics, 2020, 42(3): 613-619.

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退化特性	T^*	M^*	CR
匀速	1.951	3.820	138.619
加速	1.495	3.866	159.343

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单部件加速退化系统的视情维修策略优化

Optimization of condition-based maintenance strategy for single-unit accelerated degrading systems

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