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

In: Proceedings of 20th International Conference on Industrial Engineering and Engineering Management

Author

Listed:
  • Ao-fu Zhang

    (Beijing Institute of Technology)

  • Li-rong Cui

    (Beijing Institute of Technology)

  • Pu Zhang

    (Inner Mongolia University of Science and Technology)

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.

Suggested Citation

  • Ao-fu Zhang & Li-rong Cui & Pu Zhang, 2013. "Research on the Problem of Spare Parts Based on Prognostics and Health Management," Springer Books, in: Ershi Qi & Jiang Shen & Runliang Dou (ed.), Proceedings of 20th International Conference on Industrial Engineering and Engineering Management, edition 127, pages 887-894, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-40063-6_87
    DOI: 10.1007/978-3-642-40063-6_87
    as

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