Title :
Detection of incipient faults in single phase induction motors using fuzzy logic
Author :
Mishra, M.K. ; Tarnekar, S.G. ; Kothari, D.P. ; Ghosh, Arindam
Author_Institution :
Dept. of Electr. Eng., Visvesvaraya Regional Coll. of Eng., Nagpur, India
Abstract :
The use of electric motors in industry is extensive. These motors are exposed to a wide variety of environments and conditions which age the motor and make it subject to incipient faults. These incipient faults, if left undetected, contribute to the degradation and eventual failure of the motors. Therefore, it is always essential to check motor performance from time to time. This can be done by various conventional methods, but these methods have various drawbacks, viz. very expensive to implement, performed off line, require need of an expert, impractical for small machines, etc. However, fuzzy logic can provide heuristic reasoning, and in this paper, it is used to simulate and implement the problem to detect incipient faults in single phase induction motors
Keywords :
fault location; fuzzy logic; induction motors; machine theory; fuzzy logic; heuristic reasoning; incipient faults detection; motor performance; single phase induction motors; Circuits; Couplings; Fault detection; Fuzzy control; Fuzzy logic; Fuzzy sets; Induction motors; Phase detection; Rotors; Stators;
Conference_Titel :
Power Quality '98
Conference_Location :
Hyderabad
DOI :
10.1109/PQ.1998.710364