FAULT DETECTION OF A THREE PHASE INDUCTION MOTOR

2011 ◽  
Vol 34 (3) ◽  
pp. 241-247
Author(s):  
H. M. Badr ◽  
F. A. Abdel-Kader
Keyword(s):  
Fault Detection ◽  
Induction Motor ◽  
Three Phase

scholarly journals Stator Winding Fault Detection and Classification in Three-Phase Induction Motor

2021 ◽  
Vol 29 (3) ◽  
pp. 869-883
Author(s):  
Majid Hussain ◽  
Dileep Kumar Soother ◽  
Imtiaz Hussain Kalwar ◽  
Tayab Din Memon ◽  
Zubair Ahmed Memon ◽  
...  
Keyword(s):  
Fault Detection ◽  
Induction Motor ◽  
Stator Winding ◽  
Fault Detection And Classification ◽  
Three Phase

Fuzzy based fault detection for direct torque control of three phase induction motor drive

2019 ◽  
Author(s):  
R. Senthil Kumar ◽  
S. Jayanandhini ◽  
J. Jenisha ◽  
M. Jayalakshmi ◽  
S. Madhumitha
Keyword(s):  
Fault Detection ◽  
Induction Motor ◽  
Direct Torque Control ◽  
Torque Control ◽  
Motor Drive ◽  
Induction Motor Drive ◽  
Three Phase

Data-Driven Robust Fault Detection and Isolation of Three-Phase Induction Motor

2019 ◽  
Vol 66 (6) ◽  
pp. 4707-4715 ◽  
Author(s):  
Muhammad Faraz Tariq ◽  
Abdul Qayyum Khan ◽  
Muhammad Abid ◽  
Ghulam Mustafa
Keyword(s):  
Fault Detection ◽  
Induction Motor ◽  
Fault Detection And Isolation ◽  
Data Driven ◽  
Robust Fault Detection ◽  
Three Phase

Fault detection and protection of three-phase induction motor using Eigen based analysis

2016 ◽  
Author(s):  
Somsak Stapornirun ◽  
Chanwit Tangsiriworakul ◽  
Chalermchat Manop
Keyword(s):  
Fault Detection ◽  
Induction Motor ◽  
Three Phase

scholarly journals Stator inter-turn fault detection of an induction motor using neuro-fuzzy techniques

2010 ◽  
Vol 20 (3) ◽  
pp. 363-376 ◽  
Author(s):  
Rudra Dash ◽  
Bidyadhar Subudhi
Keyword(s):  
Fault Detection ◽  
Induction Motor ◽  
Fault Location ◽  
Single Phase ◽  
Fuzzy Inference ◽  
Induction Machine ◽  
Inference System ◽  
Neuro Fuzzy ◽  
Three Phase ◽  
Fuzzy Techniques

Stator inter-turn fault detection of an induction motor using neuro-fuzzy techniquesMotivated by the superior performances of neural networks and neuro-fuzzy approaches to fault detection of a single phase induction motor, this paper studies the applicability these two approaches for detection of stator inter-turn faults in a three phase induction motor. Firstly, the paper develops an adaptive neural fuzzy inference system (ANFIS) detection strategy and then compares its performance with that of using a multi layer perceptron neural network (MLP NN) applied to stator inter-turn fault detection of a three phase induction motor. The fault location process is based on the monitoring the three phase shifts between the line current and the phase voltage of the induction machine.

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