Use of artificial intelligence techniques and combined approaches in induction motor diagnosis
Résumé
The induction motor has become a key component in many industrial plants and in a large number of applications it is supplied by a voltage-source inverter. In spite its advantages, 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 (AI) techniques. This paper describes the various steps and highlights functions that can be accomplished by using neural networks, fuzzy logic, neural-fuzzy, genetic algorithms, artificial immune system, vector support machine, particle swarm optimization, and gaussian bootstrap process techniques.