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Quasi-periodic Inspection and Preventive Maintenance Policy Optimisation for a system with Wiener Process degradation
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1
SINO-German college of intelligent manufacturing, Shenzhen technology university, Shenzhen, China, 518118
 
2
SANY Heavy Machinery Limited.Kunshan, China
 
3
School of energy and power engineering, Lanzhou university of technology, Lanzhou, China
 
 
Online publication date: 2023-03-20
 
 
Publication date: 2023-03-20
 
 
Eksploatacja i Niezawodność – Maintenance and Reliability 2023;25(2):162433
 
HIGHLIGHTS
  • Implementation of quasi-periodic inspection and maintenance (QI&M) for a degrading system.
  • Development of a model to optimize the degradation threshold and maintenance for QI&M.
  • Example on degradation of a piston pump and obtained the impact on optimal QI&M.
KEYWORDS
ABSTRACT
Periodic inspection policy is performed for some degradation systems to check their degradation states, whereas it is usually difficult to implement on time due to impact of some random factors. Inspections and some maintenance actions are implemented in an inspection window with random, and thus how to optimize the inspection windows and the degradation threshold of the system to perform preventive maintenance (PM) are beneficial in practice. To this end, an optimisation of quasiperiodic inspection and PM policy with inspection window is proposed for a degradation system whose degradation followed Wiener process with a linear drift. Assume that PM can change the degradation rate and inspections are randomly performed in each inspection window. After optimisation, the optimal interval of the inspection window, the degradation threshold of PM and PM policy are determined by minimising the long-term running cost rate of the system. Finally, modeling and optimisation are illustrated using the degradation process of an axial piston pump, and the sensitivity analysis of some key parameters is conducted.
 
CITATIONS (1):
1.
Degradation model of a system with compensation control strategy
Wenke Gao, Lei Zhang, Wei Zhang, Zhaohan Chen, Xin Zhang, Jingzhe Zhang
2024 30th International Conference on Mechatronics and Machine Vision in Practice (M2VIP)
 
eISSN:2956-3860
ISSN:1507-2711
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