Detection and Diagnosis of Stator and Rotor Electrical Faults for Three-Phase Induction Motor via Wavelet Energy Approach

This paper presents a fault detection method in three-phase induction motors using Wavelet Packet Transform (WPT). The proposed algorithm takes frame of samples from the supply current an motor. three phase are then combined to generate single signal by computing Root Mean Square (RMS) value at each time stamp. resulting divided into windows 64 samples. Each window is processed separately. uses two methods create samples, which called non-overlapping and moving/overlapping Non-overlapping created simply dividing while moving generated taking first consequent across one sample time. new consists last 63 previous sample. overlapping reduces accuracy. However, it computationally more expensive than requires computer memory. separately as follows: performs level WPT on its coefficients four wavelet subbands. Information high frequency subbands used for activating trip disconnect motor power supply. was implemented MATLAB platform, Entropy Energy (EE) subbands’ determine condition If faulty, proceeds identify type fault. An empirical setup system implemented, tested under real, where different faults were practically induced Experimental results confirmed effectiveness technique. To generalize method, experiment repeated types with working ages ratings. show that capability independent their ages.