Induction Motor: Fuzzy System for the Detection of Winding Insulation Condition and Bearing Wear

In this article, fuzzy logic method is used to detect two types of incipient faults viz., interturn insulation failure and bearing wear in single-phase induction motor. The fuzzy rules are framed depending upon the experimental data for five input parameters viz., motor intake current, rotor speed, winding temperature, bearing temperature, and noise. The simulation and experimental results are given to verify the proposed method. Initially the performance is tested with two inputs, motor intake current and rotor speed; later the remaining three input parameters were added and the performance is tested with five inputs. It is found that the performance with five inputs gives better results.

Keywords:

• induction motor
• winding insulation
• bearing wear
• fuzzy logic