Induction Motor Stator Fault Classification Using PCA-ANFIS Technique

Stator Core Fault Diagnosis in Induction Motor Using Adaptive Observer

This document presents a method of on-line fault diagnosis for iron core of induction motor stator based on adaptive observer. Due to the equivalent resistance is directly affected by the stator core fault, while the iron loss is considered in the series iron loss model of the induction motor, so we can determine the core fault state by identifying equivalent iron consumption resistance. In thi...

Fault Detection using ANFIS for the Magnetically Saturated Induction Motor

The problem of fault detection of the π-model induction motor with magnetic saturation is considered in this paper. In this paper we use a new technique which is the Adaptive Neuro Fuzzy Inference Systems (ANFIS) technique for online identification of the different motor fault conditions. A simulation study is illustrated using MATLAB simulink depending on stator currents measurement only for o...

Stator Current Harmonic Assessment of Induction Motor for Fault Diagnosis

This paper presents an assessment of motor current signature analysis for fault diagnosis of an induction motor. Single phasing fault has been considered and stator current harmonics are analyzed by assessing peaks and symmetry in harmonic spectrums both at normal condition and at fault condition. ‘db4’ is used for current signature analysis wavelet decomposition. A comparative observation is m...

Stator Turn-to-Turn Fault Detection of Induction Motor by Non-Invasive Method Using Generalized Regression Neural Network

Condition monitoring and protection methods based on the analysis of the machine's current are widely used according to non-invasive characteristics of current transformers. It should be noted that, these sensors are installed by default in the machine control center. On the other hand, condition monitoring based on mathematical methods has been proposed in literature. However, they are model b...

Detection of the stator winding fault in three phase induction motor using Fuzzy Logic