Application of Some Artificial Intelligence Techniques in Induction Motor Fault Diagnosis

Abstract

In spite of the advantages of the use of the induction motor in a large number industrial applications, various stresses natures like thermal, electrical, mechanical or environmental could affect the life span of this induction motor drive. In recent years, monitoring and fault detection of electrical machines have moved from traditional techniques to artificial intelligence techniques. This paper gives examples of application of nine AI techniques already applied to induction motor fault diagnosis: neural networks, fuzzy logic, neural-fuzzy, genetic algorithms, vector support machine, particle swarm optimization, artificial immune system and gaussian bootstrap process. Functions that can be accomplished by them are highlighted.

Keywords

• Artificial Intelligence Methods
• Diagnosis Technique
• Induction Motor Fault Diagnosis