Inter turn Fault Analysis on Wound Rotor Induction Machine

Abstract

Prevention of industrial machineries against internal and external faults is mandatory for uninterrupted operation. Identifying the exact faults or anomalies in the system and predicting the machine’s health continuously is an essential preventive measure. To realize the protection system, pre-analysis of various faults under different load conditions is mandatory and hence, paper analysis a critical fault “Inter turn fault” in the wound rotor induction machine (WRIM). Inter turn fault is developed experimentally in 2.2 kW WRIM with 20 percent of internal windings shorted under different load conditions (0 to 1 per unit load). Obtained results are analysed for various electrical and mechanical parameters, and the faulty effects are revealed.

Application of Machine Learning for Inter Turn Fault Detection in Pumping System

“…Harmonic frequencies can analyse machine health. In hazardous and extreme environmental conditions where access of the machine is difficult such as nuclear power plant, , paper mill, chemical plant and on shore and off shore facilities, this method is applied for health monitoring of the machines [14] [15]. MCSA is an electric machinery monitoring technique which has wide application mainly in heavy industry.…”