Open Access
Volume 39, Number 1, February 2021
Page(s) 71 - 76
Published online 09 April 2021
  1. Xu Mingxuan. Research on fault analysis method and fault diagnosis technology of aircraft avionics system[J]. China Plant Engineering, 2018, 399(14): 102–103 [Article] (in Chinese) [Google Scholar]
  2. Platus D L. Negative-stiffness-mechanism vibration isolation system[C]//Proceedings of the SPIE-the International Society for Optical Engineering, 1999: 98–105 [Google Scholar]
  3. Song Fuchao, Hou Wenkui, Shi Long. The information-enhanced fault diagnosis system design of avionics power supply module[C]//2013 International Conference on Quality Reliebility, Rish, Maintenance, and Safety Engineering, 2013 [Google Scholar]
  4. Izadian A, Khayyer P. Application of Kalman filters in model-based fault diagnosis of a DC-DC boost converter[C]//36th Annual Conference on IEEE Industrial Electronics Society, Glendale, AZ, 2010: 369–372 [Google Scholar]
  5. Park T, Kim T. Novel fault tolerant power conversion system for hybrid electric vehicles[C]//2011 IEEE Vehicle Power and Propulsion Conference, Chicago, 2011: 1–6 [Google Scholar]
  6. Kim S Y, Nam K, Song H, et al. Fault diagnosis of a ZVS DC-DC converter based on DC-link current pulse shapes[J]. IEEE Trans on Industrial Electronics, 2008, 55(3): 1491–1494 [Article] [Google Scholar]
  7. Ribeiro E, Cardoso A J M, Boccaletti C. Fault-tolerant strategy for a photovoltaic DC-DC converter[J]. IEEE Trans on Power Electronics, 2013, 28(6): 3008–3018 [Article] [Google Scholar]
  8. Sheng H, Wang F, Tipton C W. A fault detection and protection scheme for three-level DC-DC converters based on monitoring flying capacitor voltage[J]. IEEE Trans on Power Electronics, 2012, 27(2): 685–697 [Article] [Google Scholar]

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