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Prognostics and health management of life-supporting medical instruments

Author

Listed:
  • Cheng He

    (Shanghai Polytechnic University)

  • Yang Wu

    (Shanghai Polytechnic University)

  • Tong Chen

    (Shanghai General Hospital)

Abstract

In order to deal with the maintenance problems of life-supporting medical instruments, and to improve their utilization, a prognostics and health management (PHM) system is designed. The implementation framework of PHM system is proposed. A experiment platform for critical components of life-supporting medical instruments is built. A fault is injected into the component. The model for critical components of medical instruments is established based on Lagrange method model. Using the reduced particle group to represent the state of the probability density function, the probability of failure in real-time can be calculated by particle filter algorithm. The simulation results match the experimental data. It diagnoses the faults and predicts the remaining useful life. Then appropriate maintenance advice can be given.

Suggested Citation

  • Cheng He & Yang Wu & Tong Chen, 2019. "Prognostics and health management of life-supporting medical instruments," Journal of Combinatorial Optimization, Springer, vol. 37(1), pages 183-195, January.
    • Handle: RePEc:spr:jcomop:v:37:y:2019:i:1:d:10.1007_s10878-017-0218-x
    DOI: 10.1007/s10878-017-0218-x
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    References listed on IDEAS

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    1. Liwei Zhong & Shoucheng Luo & Lidong Wu & Lin Xu & Jinghui Yang & Guochun Tang, 2014. "A two-stage approach for surgery scheduling," Journal of Combinatorial Optimization, Springer, vol. 27(3), pages 545-556, April.
    2. Rong Chen & Jun S. Liu, 2000. "Mixture Kalman filters," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 62(3), pages 493-508.
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    Cited by:

    1. Zhiguo Wang & Lufei Huang & Cici Xiao He, 2021. "A multi-objective and multi-period optimization model for urban healthcare waste’s reverse logistics network design," Journal of Combinatorial Optimization, Springer, vol. 42(4), pages 785-812, November.
    2. Zhiguo Wang & Lufei Huang & Cici Xiao He, 0. "A multi-objective and multi-period optimization model for urban healthcare waste’s reverse logistics network design," Journal of Combinatorial Optimization, Springer, vol. 0, pages 1-28.

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