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A preventive opportunistic maintenance method for railway traction power supply system based on equipment reliability
- Source :
- Railway Engineering Science, Vol 28, Iss 2, Pp 199-211 (2020)
- Publication Year :
- 2020
- Publisher :
- Springer Science and Business Media LLC, 2020.
-
Abstract
- Conventional maintenance mode for the traction power supply system (TPSS) is to perform scheduled regular maintenance activities for power supply equipment, while such maintenance mode may result in undue maintenance tasks and low efficiency due to different degradation processes of different sorts of equipment. To address this problem, this paper introduces a preventive opportunistic maintenance (POM) method for TPSS based on equipment reliability. Firstly, a POM model is established by considering the equipment reliability degradation process based on Weibull distribution. Then, by considering the total power outage time in the planned operation cycle of TPSS as the optimization objective, the optimal maintenance scheme of TPSS is formulated by iterative method of maintenance strategies. The proposed method is verified by introducing practical maintenance strategies and fault record data of the traction transformer, circuit breaker and disconnector in an actual TPSS of a railway administration. Results show that the presented method can make full use of the existing fault data to develop a POM scheme for TPSS. It can improve maintenance efficiency and reduce power outage time, providing guidance to formulate scientific maintenance strategies for TPSS.
- Subjects :
- Railroad engineering and operation
Iterative method
Computer science
020209 energy
Computational Mechanics
Optimal maintenance
Disconnector
Transportation
02 engineering and technology
TF1-1620
Fault (power engineering)
0203 mechanical engineering
Preventive opportunistic maintenance
0202 electrical engineering, electronic engineering, information engineering
Electrical and Electronic Engineering
Maintenance mode
Reliability (statistics)
Circuit breaker
Opportunistic maintenance interval
Mechanical Engineering
Traction power supply system
Reliability
Computer Science Applications
Power (physics)
Reliability engineering
020303 mechanical engineering & transports
Electrified railway
Weibull distribution
Subjects
Details
- ISSN :
- 26624753 and 26624745
- Volume :
- 28
- Database :
- OpenAIRE
- Journal :
- Railway Engineering Science
- Accession number :
- edsair.doi.dedup.....8190870a9f3bd046a88aa2fcc2e82d62