Abstract—Three-phase induction motors are widely used in industrial electric applications. To ensure their operability, efforts have been made mainly in the detection of rotor faults. This work aims to detect rotor faults in induction motors through of Motor Current Signature Analysis (MCSA) under locked rotor condition. In this configuration, the procedure is most suitable for drives where the motor operates intermittently, with a short operating stroke or variable speed. This paper proposes a methodology and presents a comparison of consolidated signal processing techniques such as Fast Fourier Transform (FFT), Discrete Wavelet Transform (DWT), and Discrete Hilbert Transform (DHT) applied on the conventional input currents and components of Park transformation in a case study. The objective is to define which of the techniques is the most robust in the process of identifying broken bars in the induction motor for the proposed methodology. 
 

Index Terms—Induction motor, fault diagnosis, MCSA, broken bar, locked rotor, wavelet, Hilbert transform, Park transformation

Cite: Michael Hrelrison F. da Silva and Pyramo P. da Costa Jr., "Current Signature Analysis for Diagnostics in Motor Bars under Locked Rotor Condition," International Journal of Electrical and Electronic Engineering & Telecommunications, Vol. 10, No. 5, pp. 362-368, September 2021. Doi: 10.18178/ijeetc.10.5.362-368