Condition-based maintenance optimization for continuously monitored degrading systems under imperfect maintenance actions

doi:10.23919/JSEE.2020.000057

Journal of Systems Engineering and Electronics ›› 2020, Vol. 31 ›› Issue (4): 841-851.doi: 10.23919/JSEE.2020.000057

• Reliability • Previous Articles Next Articles

Condition-based maintenance optimization for continuously monitored degrading systems under imperfect maintenance actions

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 and Astronautics, Nanjing 211106, China
³ School of Earth Sciences and Engineering, Hohai University, Nanjing 211100, China

Received:2019-08-29 Online:2020-08-25 Published:2020-08-25
Contact: Ningyun LU E-mail:chenchuang@nuaa.edu.cn;luningyun@nuaa.edu.cn;binjiang@nuaa.edu.cn;xingyincc@163.com
About author:CHEN Chuang was born in 1992. He received his M.S. degree in control engineering from Nanjing Tech University, Nanjing, China, in 2018. He is currently pursuing his Ph.D. degree in control theory and control engineering with the College of Automation Engineering, Nanjing University of Aeronautics and Astronautics. His current research interests include stochastic modeling of systems degradation, performance evaluation and optimization of dynamic maintenance strategies. E-mail: chenchuang@nuaa.edu.cn|LU Ningyun was born in 1977. She received her Ph.D. degree from Northeastern University, Shenyang, China, in 2004. From 2002 to 2005, she worked as a research associate and post-doctoral fellow in the Hong Kong University of Science and Technology. She is currently a full professor at the College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China. Her research interests include data-driven fault prognosis and diagnosis and their applications to various industrial processes. E-mail: luningyun@nuaa.edu.cn|JIANG Bin was born in 1966. He received his Ph.D. degree in automatic control from Northeastern University, Shenyang, China, in 1995. He had ever been a post-doctoral fellow, a research fellow, and a visiting professor in Singapore, France, USA and Canada, respectively. He is currently a chair professor of Cheung Kong Scholar Program in Ministry of Education, and the vice president of Nanjing University of Aeronautics and Astronautics, Nanjing, China. His current research interests include fault diagnosis and fault tolerant control and their applications in aircrafts, satellites and high-speed trains. He currently serves as an associate editor or Editorial Board Member for a number of journals such as IEEE Transactions on Control Systems Technology; IEEE Transactions on Cybernetics; Journal of The Franklin Institute; Neurocomputing; International Journal of Control, Automation and Systems; Acta Automatica Sinica; Control and Decision; and Systems Engineering and Electronics. He is the Chair of Control Systems Chapter in IEEE Nanjing Section, a member of IFAC Technical Committee on Fault Detection, Supervision, and Safety of Technical Processes. E-mail: binjiang@nuaa.edu.cn|XING Yin was born in 1992. She received her M.S. degree in surveying and mapping engineering from Guilin University of Technology, Guangxi, China, in 2018. She is currently pursuing her Ph.D. degree in geodesy and surveying engineering with the School of Earth Sciences and Engineering, Hohai University. Her current research interests include monitoring and prediction of landslide displacement. E-mail: xingyincc@163.com
Supported by:
the National Natural Science Foundation of China(61873122);the Priority Academic Program Development of Jiangsu Higher Education Institutions;This work was supported by the National Natural Science Foundation of China (61873122) and the Priority Academic Program Development of Jiangsu Higher Education Institutions

Abstract

Abstract:

Condition-based maintenance (CBM) is receiving increasing attention in various engineering systems because of its effectiveness. This paper formulates a new CBM optimization problem for continuously monitored degrading systems considering imperfect maintenance actions. In terms of maintenance actions, in practice, they scarcely restore the system to an as-good-as new state due to residual damage. According to up-to-data researches, imperfect maintenance actions are likely to speed up the degradation process. Regarding the developed CBM optimization strategy, it can balance the maintenance cost and the availability by the searching the optimal preventive maintenance threshold. The maximum number of maintenance is also considered, which is regarded as an availability constraint in the CBM optimization problem. A numerical example is introduced, and experimental results can demonstrate the novelty, feasibility and flexibility of the proposed CBM optimization strategy.

Key words: condition-based maintenance (CBM), imperfect maintenance, maintenance cost, availability constraint, optimization

Chuang CHEN, Ningyun LU, Bin JIANG, Yin XING. Condition-based maintenance optimization for continuously monitored degrading systems under imperfect maintenance actions[J]. Journal of Systems Engineering and Electronics, 2020, 31(4): 841-851.

Figures/Tables 10

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References 38

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Number of maintenance	$D_{P\!M} $
Number of maintenance	2	4	6	8	10	12	14	16	18	20
1				0.957 7	0.965 3	0.970 6	0.974 5	0.977 5	0.979 8	0.981 7
2				0.950 1	0.957 5	0.962 1	0.965 0	0.966 5	0.966 8	0.965 8
3				0.946 4	0.953 7	0.958 1	0.960 4	0.961 0	0.960 1	0.957 3
4					0.951 5	0.955 8	0.957 9	0.958 3	0.956 8	0.953 2
5					0.949 9	0.954 2	0.956 3	0.956 5	0.954 7	0.950 7
6	${\rm SA}<0.95$					0.952 9	0.955 0	0.955 1	0.953 2	0.948 9
7						0.951 8	0.953 8	0.953 9	0.951 9
8						0.950 7	0.952 8	0.952 8	0.950 7
9						0.949 7	0.951 8	0.951 8	0.949 6
10							0.950 8	0.950 8
11							0.949 8	0.949 8

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Condition-based maintenance optimization for continuously monitored degrading systems under imperfect maintenance actions

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