DocumentCode
1607648
Title
Fault Diagnosis of Coal Mine Hoist Electrical Control System Based on Fuzzy Rough Set
Author
Ma, Xian-Min ; Zhang, Ji-Qiang
Author_Institution
Coll. of Electr. & Control Eng., Xi´´an Univ. of Sci. &Technol., Xi´´an, China
fYear
2012
Firstpage
79
Lastpage
82
Abstract
Based on fuzzy rough set theory a novel fault diagnosis for the coal mine hoist electrical control system is proposed in the paper. The process of the mine hoist is introduced, and the working principle of the electronic control system is described. The fault types of the coal mine hoist are classified, and the fault sources of different kind of faults are analyzed. The different fault rules are established with fuzzy logical set theory. By rough set theory the fault features are abstracted and the fault rules are simplified. The primary research results show that the suggested method can find the characteristic parameters in the much fault information of the coal mine hoist electrical control system, and it is very helpful to deal with imprecise information of each system fault source signal, and to diagnose fault through the fuzzy rough set theory.
Keywords
fault diagnosis; fuzzy control; fuzzy set theory; mining industry; rough set theory; coal mine hoist electrical control system; fault diagnosis; fault rules; fault sources; fuzzy logical set theory; fuzzy rough set theory; AC motors; Circuit faults; Coal mining; Control systems; Fault diagnosis; Rotors; Set theory; Coal Mine Hoister; Electrical Control System; Fuzzy Logical Set; Rough Set Theory;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Control and Electronics Engineering (ICICEE), 2012 International Conference on
Conference_Location
Xi´an
Print_ISBN
978-1-4673-1450-3
Type
conf
DOI
10.1109/ICICEE.2012.29
Filename
6322318
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