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Fault Diagnosis of Coal Mine Hoist Electrical Control System Based on Fuzzy Rough Set

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2 Author(s)
Xian-Min Ma ; Coll. of Electr. & Control Eng., Xi''an Univ. of Sci. &Technol., Xi''an, China ; Ji-Qiang Zhang

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.

Published in:

Industrial Control and Electronics Engineering (ICICEE), 2012 International Conference on

Date of Conference:

23-25 Aug. 2012