Identify Faults of Induction Motor through Motor Current Signature Analysis (MCSA) Approach

Abstract

Induction motors are essential in many industrial applications, and their dependable performance is critical for maintaining productivity and avoiding expensive downtime. Nevertheless, these motors are prone to flaws and deterioration over time, requiring efficient diagnostic methods for prompt intervention. Motor Current Signature Analysis (MCSA) is a method that depends on current monitoring and is used in this study. In order to load unique fault frequencies, it makes use of the machines current spectrum. In order to find problems via measurement, a signal processing method for condition monitoring is used. The motor used in the experiment is a 3-phase, 4-pole, 50Hz model with 0.5 horsepower. One and a half mega-samples per second is the scanning speed. The power spectrum is obtained by the use of LabVIEW software and the Virtual Instrument (VI). To determine the impact of short winding defects under varying loads, experiments are conducted.