Title :
Intelligent maintenance support system for trucks
Author :
Ursenbach, Andrew ; Wang, Qun ; Rao, Ming
Author_Institution :
Dept. of Chem. Eng., Alberta Univ., Edmonton, Alta., Canada
Abstract :
With the mechanical monitoring devices in place more accurate information may be derived, but as systems get more complex the interpretation of this information becomes more difficult, even impossible for the human expert. Computers can be used in the interpretation of these data, using numerical techniques in some cases or, more recently, expert systems. The expert system in condition monitoring, a relatively new concept, is an effective tool in interpreting large amounts of data. This paper describes a general intelligent system architecture for equipment monitoring and maintenance, known as the intelligent maintenance support system. It makes use of mechanical hardware monitoring systems, several intelligent analysis tools, and an intelligent hypermedia system that is implemented with INTEMOR
Keywords :
computerised monitoring; expert systems; hypermedia; maintenance engineering; mechanical engineering; mechanical engineering computing; monitoring; road vehicles; INTEMOR; condition monitoring; expert systems; hypermedia system; intelligent maintenance support system; mechanical monitoring; trucks; Computerized monitoring; Condition monitoring; Engines; Expert systems; Fault diagnosis; Hardware; Intelligent sensors; Intelligent systems; Machine intelligence; Vibrations;
Conference_Titel :
Intelligent Vehicles '95 Symposium., Proceedings of the
Conference_Location :
Detroit, MI
Print_ISBN :
0-7803-2983-X
DOI :
10.1109/IVS.1995.528286