Journal of the Korean Society of Manufacturing Technology Engineers (한국생산제조학회지)

The Korean Society of Manufacturing Technology Engineers (한국생산제조학회)
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A Study On The Embedded Fault Diagnosis System Implementation

임베디드기반 자동고장진단 시스템 구축에 대한 연구

  • Received : 2013.03.07
  • Accepted : 2013.03.28
  • Published : 2013.04.15
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Abstract

Fault Diagnosis is a process of detecting and isolating faults in a system. On demanding for safety and high reliability systems make it important for some reasons such as economical and environmental incentives. Especially embedded technology and IT technology combined with precise sensing techniques has been doing well developed and applied to fault diagnosis and prognosis in industrial systems like as automotive, ship, heavy industry and aerospace as well. This paper, as an empirical application of diesel engine, presents a method how to get raw data from physical systems, what to consider for successful implementation and which theoretic mathematical models should be applied. In a sense of system level Adaptive Filtering (we call Modified Kalman Filter) and a unit of part level Hidden Markov Process was developed and applied.

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References

  1. Chiang, L., H., Russell, E., L., and Braatz, R., D., Braatz, 2000, Fault Detection and Diagnosis in Industrial Systems, Springer Verlag, USA.
  2. Rolf, Isermann, 2006, Fault Diagnosis Systems, Springer Verlag, USA.
  3. Rolf, Isermann, 2010, Fault Diagnosis Applications, Springer Verlag, USA.
  4. David, L., Hall, 1992, Mathematical Techniques in Multisensor Data Fusion, SArtech House, USA.
  5. Chingiz, Hajiyev, and Fikret, Caliskan, 2003, Fault Diagnosis and Reconfiguration in Flight Control Systems, KAP, USA.
  6. Treichler, J., R., Johnson, Jr., C., R., and Larimore, M., G., 2001, Theory and Design of Adaptive Filters, Prentice Hall, USA.

Cited by

  1. 다품종 종이용기의 고속 생산을 위한 고장 진단 시스템 개발 vol.18, pp.5, 2013, https://doi.org/10.14775/ksmpe.2019.18.5.037