Offline Diagnostic of Rotor of Asynchronous Motor

Abstract

Asynchronous machines are widely used in various industrial applications, and their reliable operation is essential to maintain the production process. Rotor faults are one of the most common types of faults in asynchronous machines and can lead to a significant decrease in the machine's efficiency and lifespan. Offline diagnostic methods have been developed to detect rotor faults in asynchronous machines, including vibration analysis, current signature analysis, and motor current signature analysis. This research paper presents an overview of offline diagnostic methods for detecting rotor faults in asynchronous machines, their principles, advantages, and limitations. The paper also includes case studies of rotor fault diagnosis in asynchronous machines using Finite Element Method (FEM) and FFT analysis for Maxwell 2D electromagnetic FEM model.

Description

Subject(s)

Asynchronous Motor, Offline Diagnostic, FEM, MCSA, Broken Rotor Bar, 2D Electromagnetic Model, Stray Flux, FFT

Citation