Research on the Problem of Spare Parts Based on Prognostics and Health Management

Ao-fu Zhang (), Li-rong Cui and Pu Zhang
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Ao-fu Zhang: Beijing Institute of Technology
Li-rong Cui: Beijing Institute of Technology
Pu Zhang: Inner Mongolia University of Science and Technology

A chapter in Proceedings of 20th International Conference on Industrial Engineering and Engineering Management, 2013, pp 887-894 from Springer

Abstract: Abstract The spare allocation of complex system is a major challenge faced with the reliability theory and engineering practice. Complex system states are various and the external environment is complicated, it is difficult to use the forecast model of the traditional spare parts demand. By analyzing the sensor acquired the technology of PHM, we can take advantage of integrating state information. Meanwhile the technology of PHM can predict, monitor and manage the work state of the system with the help of various algorithms and intelligent model. Therefore, we establish the spare part management system based on the technology of PHM in order to solve allocation problem.

Keywords: Prognostic and health management; Spare part support; State prognostics (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-40063-6_87

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DOI: 10.1007/978-3-642-40063-6_87

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