NDLI: Imperfect predictive maintenance model for multi-state systems with multiple failure modes and element failure dependency

Content Provider	IEEE Xplore Digital Library
Author	Cher Ming Tan Raghavan, N.
Copyright Year	2010
Description	Author affiliation: Division of Microelectronics, School of Electrical & Electronic Engineering, Nanyang Technological University, BlockS2, Singapore - 639798 (Raghavan, N.) \|\| Division of Circuits & Systems, School of Electrical & Electronic Engineering, Nanyang Technological University, BlockS2, Singapore - 639798 (Cher Ming Tan)
Abstract	The objective of this study is to develop a practical statistical model for imperfect predictive maintenance based scheduling of multi-state systems (MSS) with reliability dependent elements and multiple failure modes. The system is modeled using a Markov state diagram and reliability analysis is performed using the Universal Generating Function (UGF) technique. The model is simulated for a case study of a power generation - transmission system. The various factors influencing the predictive maintenance (PdM) policy such as maintenance quality and user threshold demand are examined and the impact of the variation of these factors on system performance is quantitatively studied. The model is found to be useful in determining downtime schedules and estimating times to replacement of an MSS under the PdM policy. The maintenance schedules are devised based on a “system-perspective” where failure times are estimated by analyzing the overall performance distribution of the system. Simulation results of the model reveal that a slight improvement in the “maintenance quality” can postpone the system replacement time by manifold. The consistency in the quality of maintenance work with minimal variance is also identified as a very important factor that enhances the system's future operational and downtime event predictability. Moreover, the studies reveal that in order to reduce the frequency of maintenance actions, it is necessary to lower the minimum user expectations from the system, ensuring at the same time that the system still performs its intended function effectively. The model proposed can be utilized to implement a PdM program in the industry with a few modifications to suit the individual industry's needs.
Starting Page	1
Ending Page	12
File Size	4132160
Page Count	12
File Format	PDF
ISBN	9781424447565
e-ISBN	9781424447589
DOI	10.1109/PHM.2010.5414594
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-01-12
Publisher Place	Macao
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Job shop scheduling System performance Failure analysis Predictive models Frequency Power system reliability Performance analysis Power system modeling Power generation Predictive maintenance
Content Type	Text
Resource Type	Article

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