Intelligent nonmodel-based fault diagnosis of electric motors using current signature analysis

Distributed Intelligent Fault Diagnosis for Hydraulic Motors

Information technology and artificial intelligence technology hold great potential for enabling the distributed and intelligent fault diagnosis. Hydraulic motor is a common actuator having a high impact on the system performance. There has been significant work on fault detection and diagnosis for hydraulic motors. This paper presents a multi-agent framework for hydraulic motor fault diagnosis ...

Fault Detection of Electric Motors Based on Frequency and Time- Frequency Analysis using Extended DFT

This paper proposes a method of fault analysis for induction motors. The method is based on frequency domain and time-frequency domain analysis. Extended Discrete-Furrier Transform or EDFT is a proposed technique of signal processing. The principle is that any fault either in the stator or the rotor may distort the sinusoidal response of the motor RPM and the main frequency. Because the EDFT re...

Fault Detection of Solenoid Valve Using Current Signature Analysis

Rotor Cage Fault Detection in Induction Motors by Motor Current Signature Analysis

Electric motors have revolutionized the way of human living and resulted in the modern life style. In every product that one consumes or uses today or in any service field that one benefits, it is for sure that there is an electric motor contributing to the production. These motors are playing important role in the industries called as horses of modern industry. Induction motors often operate i...

Current Signature Analysis for Condition Monitoring of Motors

This paper presents a novel approach to current signature analysis based on wavelet transform of the stator current. The proposed method lies in the fact that by using wavelet transform, the inherent non-stationary nature of stator current can be accurately considered. The key characteristics of the proposed method are its ability to provide feature representations of multiple frequency resolut...