Condition monitoring of induction motors: A review
The electrical motor condition monitoring is a growing technology to detect the fault of an induction motor. It detects the unexpected faults of a critical system. Definite harmonic signals of the line current are located by a popular method known as motor current signature analysis. Different faults of an induction motor such as rotor, stator, bearing, vibration, air gap eccentricity and their different diagnosis techniques are also explored. In fact, the actual fault detection by using the human involvement is widely replaced by the automated technology, namely fuzzy logic based systems, genetic algorithm, neural networks, wavelet technique, Vienna monitoring etc. It is truly evident that the scope of this area is vast. Hence, acknowledging the need for future research, this review paper presents a bird's eye view on different types of faults and their diagnostics' schemes.
2016 International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES)