• Media type: E-Article
  • Title: Fault diagnosis in a current sensor and its application to fault-tolerant control for an air supply subsystem of a 50 kW-Grade fuel cell engine
  • Contributor: Quan, Rui; Wu, Fan; Wang, Chengji; Tan, Baohua; Chang, Yufang
  • Published: Royal Society of Chemistry (RSC), 2020
  • Published in: RSC Advances, 10 (2020) 9, Seite 5163-5172
  • Language: English
  • DOI: 10.1039/c9ra09884d
  • ISSN: 2046-2069
  • Origination:
  • Footnote:
  • Description: A fault diagnosis and fault-tolerant control method based on artificial neural networks is proposed. Faults were detected immediately once the difference exceeded the set threshold, and the invalid signals were substituted with the predictive output value.
  • Access State: Open Access