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A robust short-circuit fault diagnosis for high voltage DC power supply based on multisensor data fusion

Ayoubi, R ; Sharif University of Technology | 2019

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  1. Type of Document: Article
  2. DOI: 10.1109/PEDSTC.2019.8697746
  3. Publisher: Institute of Electrical and Electronics Engineers Inc , 2019
  4. Abstract:
  5. Short-circuit fault (SCF) detection is mandatory in a high voltage DC power supply (HVPS) to prevent fatal damage. The majority of converters employ a single sensor to detect the SCF. This attribute increases the interference vulnerability of the fault detection (FD) system in the presence of noise. Therefore, miss detections and false alarms are possible to occur. Miss detections and false alarms are harmful catastrophes in most applications. A commonly used method to suppress the noise impacts is using a low-bandwidth low-pass filter. However, the use of the low-bandwidth low-pass filter reduces the speed of FD due to the filter delay. This paper proposes a fast FD algorithm based on multisensor data fusion. The proposed FD system consists of three FD subsystems with high-bandwidth low-pass filters, which each one is individually implemented by sensing three distinct variables and reaches a local decision about the SCF occurrence. Finally, all local decisions are gathered in a decision fusion center and a global decision regarding the converter situation will be made based on the weighted decision fusion. The simulation and experimental results confirm the performance of the proposed FD system in the presence of noise. © 2019 IEEE
  6. Keywords:
  7. Fault diagnosis ; Multisensor ; Power supplies ; Bandwidth ; Damage detection ; Data fusion ; Digital storage ; Errors ; Failure analysis ; Fault detection ; Finite difference method ; Low pass filters ; Power converters ; Power electronics ; Signal processing ; Timing circuits ; Decision fusion ; High voltage DC power supplies ; Local decisions ; Miss detection ; Multi sensor ; Multisensor data fusion ; Power supply ; Short-circuit fault ; HVDC power transmission
  8. Source: 10th International Power Electronics, Drive Systems and Technologies Conference, PEDSTC 2019, 12 February 2019 through 14 February 2019 ; 2019 , Pages 659-664 ; 9781538692547 (ISBN)
  9. URL: https://ieeexplore.ieee.org/document/8697746