Method, System and Computer Program for Detecting Faults in Induction Motors

Abstract

A method, system, and computer program for detecting faults in induction motors using Electric Signal Analysis (ESA) and Fast Fourier Transform (FFT) techniques is disclosed. The method involves receiving an input signal (10) from the induction motor, transforming the input signal into the frequency domain using FFT (11) to obtain an FFT spectrum, applying an envelope detection algorithm (12-15) to the FFT spectrum to obtain an envelope representing amplitude variations of frequency components, calculating (16) the Root Mean Square (RMS) of the envelope, and analyzing the calculated RMS envelope (17) to detect at least one frequency signature representative of a fault in the induction motor. The method enhances fault detection capabilities by addressing noise sensitivity and resolution limitations of traditional FFT-based ESA techniques.

Dependencies are inferred from the claim text.