A dynamic condition-based maintenance optimization model for mission-oriented system based on inverse Gaussian degradation process  

作　　者：LI Jingfeng CHEN Yunxiang CAI Zhongyi WANG Zezhou 

机构地区：[1]Equipment Management and UAV Engineering College,Air Force Engineering University,Xi’an 710051,China

出　　处：《Journal of Systems Engineering and Electronics》2022年第2期474-488,共15页系统工程与电子技术（英文版）

基　　金：supported by the National Natural Science Foundation of China (71901216)。

摘　　要：An effective maintenance policy optimization model can reduce maintenance cost and system operation risk. For mission-oriented systems, the degradation process changes dynamically and is monotonous and irreversible. Meanwhile, the risk of early failure is high. Therefore, this paper proposes a dynamic condition-based maintenance(CBM) optimization model for mission-oriented system based on inverse Gaussian(IG) degradation process. Firstly, the IG process with random drift coefficient is used to describe the degradation process and the relevant probability distributions are obtained. Secondly, the dynamic preventive maintenance threshold(DPMT) function is used to control the early failure risk of the mission-oriented system, and the influence of imperfect preventive maintenance(PM)on the degradation amount and degradation rate is analysed comprehensively. Thirdly, according to the mission availability requirement, the probability formulas of different types of renewal policies are obtained, and the CBM optimization model is constructed. Finally, a numerical example is presented to verify the proposed model. The comparison with the fixed PM threshold model and the sensitivity analysis show the effectiveness and application value of the optimization model.

关 键 词：inverse Gaussian(IG)process imperfect preventive maintenance(PM) mission-oriented system dynamic preventive maintenance threshold(DPMT) maintenance optimization 

分 类 号：V267[航空宇航科学与技术—航空宇航制造工程]