Fault Detection in 3-phase Squirrel Cage Traction Motor Using Artificial Neural Network

Traction Motors Condition Monitoring is one of the important factors in increasing motor life time and prevention of any train sudden stop in track and thereupon avoiding interruptions in track traffic. In this paper, a neural network based method for detecting unbalanced voltage fault which is one of the various faults in 3-phase traction motors was surveyed. Proposed method is independent from load state and fault percentage; which means neural network is able to detect fault and load condition without any assumption about the state of the load and fault.

کلیدواژه ها:

Traction motor ، Neural Network ، Unbalanced Voltage Fault ، Monitoring