With the rapid development of traction motor, the mechanical health monitoring and fault diagnosis field have entered
the era of big data. 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 also has a deep development in the artificial intelligence.
It is truly evident that the scope of this area is vast. Hence, acknowledging the need for future research, this review paper presents
a birds eye view on different types of traction induction faults and their diagnostics schemes.