Various Types of Faults and Their Detection Techniquesin Three Phase Induction Motors Fault
Journal Title: International Journal of engineering Research and Applications - Year 2017, Vol 7, Issue 5
Abstract
Artificial neural networks are extensively used for speed, torque estimation, and solid state drive control in both DC and AC machines. These Artificial intelligent techniques are increasingly used for condition monitoring and fault detection of machines. this paper present an overview of researches onThree phase Induction Motors Faults Detection Using Artificial Neural Network(ANN) , a general classification and brief description of the focus area for research and development in this direction are given under title of various types of faults and their detections techniques an improvement in three-phase squirrel-cage induction machine bearing, stator, eccentricity ,inter-turn, end-ring, broken-bar faults detection and diagnosis based on a neural network approach is presented .Future research directions are also highlighted.
Authors and Affiliations
Hayder O. Alwan, Dr. Qais S-Al- Sabbagh
Keywords
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- EP ID EP391179
- DOI 10.9790/9622-0705032433.
- Views 103
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