A mixed expert system for fault diagnosis

Author

Wang, Yuan-Hang ; Deng, Chao ; Xiong, Yao ; Wu, Jun

Author_Institution

Country State Key Lab. of Digital Manuf. Equip. & Technol., Huazhong Univ. of Sci. & Technol., Wuhan, China

fYear

2010

fDate

29-31 Oct. 2010

Firstpage

916

Lastpage

919

Abstract

Because of the high structure complexity and variety of working condition, it is greatly difficult to fault diagnosis for heavy machines. This paper puts forward a method of fault diagnosis based on mixed expert system, which uses the rules and cases. The architecture and diagnosis flow of the system are both proposed. The knowledge database of fault diagnosis of heavy machine are mainly set up, including the rule database and case database which are respectively based on the “Structure Fault Tree” and breakdown maintenance record. Finally, the prototype system is designed.

Keywords

expert systems; fault diagnosis; fault trees; machinery; maintenance engineering; mechanical engineering computing; prototypes; case database; diagnosis flow; fault diagnosis; heavy machines; knowledge database; maintenance record; mixed expert system; prototype system; rule database; structure fault tree; working condition; Book reviews; Heavy machine; expert system; fault diagnosis; structure fault tree;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Engineering and Engineering Management (IE&EM), 2010 IEEE 17Th International Conference on

Conference_Location

Xiamen

Print_ISBN

978-1-4244-6483-8

Type

conf

DOI

10.1109/ICIEEM.2010.5646475

Filename

5646475