Title :
Information fusion method in fault detection and diagnosis
Author :
Xu, Qin Zu ; Yue, Zhang Hong
Author_Institution :
Dept. of Autom. Control, Beijing Univ. of Aeronaut. & Astronaut., China
Abstract :
In order to improve the reliability of fault detection and diagnosis (FDD) for dynamic system, it is important to make full use of the information from system knowledge and system measurements. This paper presents a scheme of information fusion in FDD. In the proposed scheme, the local fusion adopts multiple FDD strategies aiming at one measurement of the system, then the results of these strategies are fused. The global fusion will fuse the results of every local fusion
Keywords :
fault diagnosis; knowledge based systems; sensor fusion; dynamic system; fault detection; fault diagnosis; global fusion; information fusion; knowledge based system; local fusion; system measurements; Aerodynamics; Application software; Artificial intelligence; Extraterrestrial measurements; Fault detection; Fault diagnosis; Fuses; Intelligent systems; Redundancy; Temperature measurement;
Conference_Titel :
Industrial Technology, 1994., Proceedings of the IEEE International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
0-7803-1978-8
DOI :
10.1109/ICIT.1994.467147
