Journal Article

Detection of Deterioration of Three-phase Induction Motor using Vibration Signals

Kozik, Jarosław, Faizal Khan, Z., Piech, Krzysztof, Irfan, Muhammad, Gutten, Miroslav, Glowacz, Adam, Liu, Hui, Brumercik, Frantisek, Glowacz, Witold, Caesarendra, Wahyu

2019

Overview

Nowadays detection of deterioration of electrical motors is an important topic of research. Vibration signals often carry diagnostic information of a motor. The authors proposed a setup for the analysis of vibration signals of three-phase induction motors. In this paper rotor fault diagnostic techniques of a three-phase induction motor (TPIM) were presented. The presented techniques used vibration signals and signal processing methods. The authors analyzed the recognition rate of vibration signal readings for 3 states of the TPIM: healthy TPIM, TPIM with 1 broken bar, and TPIM with 2 broken bars. In this paper the authors described a method of the feature extraction of vibration signals Method of Selection of Amplitudes of Frequencies – MSAF-12. Feature vectors were obtained using FFT, MSAF-12, and mean of vector sum. Three methods of classification were used: Nearest Neighbor (NN), Linear Discriminant Analysis (LDA), and Linear Support Vector Machine (LSVM). The obtained results of analyzed classifiers were in the range of 97.61 % – 100 %.

• Publisher: Sciendo,De Gruyter Brill Sp. z o.o., Paradigm Publishing Services
• Subject: Deterioration / diagnosis / Diagnostic systems / Discriminant analysis / Feature extraction / Frequencies / induction motor / Induction motors / Signal processing / Support vector machines / Vibration analysis / vibration signal