Journal of Electrical Engineering and Technology

  • 제7권3호
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  • Pages.411-419
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  • 2012
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  • 1975-0102(pISSN)
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  • 2093-7423(eISSN)
대한전기학회 (The Korean Institute of Electrical Engineers)
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Two-Faults Detection and Isolation Using Extended Parity Space Approach

  • Lee, Won-Hee (School of Mechanical and Aerospace Engineering, Seoul National University/ASRI) ;
  • Kim, Kwang-Hoon (School of Electrical Engineering, Seoul National University) ;
  • Park, Chan-Gook (School of Mechanical and Aerospace Engineering/the Institute of Advanced Aerospace Technology Seoul National University) ;
  • Lee, Jang-Gyu (School of Electrical Engineering, Seoul National University/ASRI)
  • 투고 : 2010.08.20
  • 심사 : 2012.03.02
  • 발행 : 2012.05.01
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초록

This paper proposes a new FDI(Fault Detection and Isolation) method, which is called EPSA(Extended Parity Space Approach). This method is particularly suitable for fault detection and isolation of the system with one faulty sensor or two faulty sensors. In the system with two faulty sensors, the fault detection and isolation probability may be decreased when two faults are occurred between the sensors related to the large fault direction angle. Nonetheless, the previously suggested FDI methods to treat the two-faults problem do not consider the effect of the large fault direction angle. In order to solve this problem, this paper analyzes the effect of the large fault direction angle and proposes how to increase the fault detection and isolation probability. For the increase the detection probability, this paper additionally considers the fault type that is not detected because of the cancellation of the fault biases by the large fault direction angle. Also for the increase the isolation probability, this paper suggests the additional isolation procedure in case of two-faults. EPSA helps that the user can know the exact fault situation. The proposed FDI method is verified through Monte Carlo simulation.

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참고문헌

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피인용 문헌

  1. Double Fault Detection of Cone-Shaped Redundant IMUs Using Wavelet Transformation and EPSA vol.14, pp.12, 2014, https://doi.org/10.3390/s140203428
  2. Adaptive Redundant Inertial Measurement Unit/Global Positioning System Integration Filter Structure for Fault Tolerant Navigation vol.136, pp.2, 2013, https://doi.org/10.1115/1.4025753
  3. Fault Detection and Isolation for Redundant Inertial Measurement Unit under Quantization vol.8, pp.6, 2018, https://doi.org/10.3390/app8060865