Open AccessApplication of Fault Prediction and Health Management in Vehicle Control System
Author(s) -
Yao Zhao,
Hejia Li,
Chao Tu,
Hangyu Wu
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1852/4/042069
Subject(s) - reliability engineering , reliability (semiconductor) , control (management) , fault (geology) , control system , state (computer science) , management system , health management system , computer science , engineering , risk analysis (engineering) , control engineering , operations management , business , medicine , power (physics) , physics , alternative medicine , electrical engineering , algorithm , quantum mechanics , pathology , artificial intelligence , seismology , geology
Vehicle control system is a large and complex system with high degree of integration and informationization, which makes fault diagnosis and support more difficult. It puts forward new requirements for fault prediction and maintenance in terms of improving the reliability and efficiency of vehicle control system and reducing the cost of use and maintenance. In order to ensure the stable operation of vehicle control system and give full play to its combat capability, it is necessary to strengthen the monitoring and health assessment of the operation state of vehicle control system, and make appropriate maintenance decisions according to the health state of the system, so as to improve the security level and effectiveness of the vehicle control system.