Use of artificial intelligence techniques and combined approaches in induction motor diagnosis - Archive ouverte HAL
Communication Dans Un Congrès Année : 2010

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.
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Dates et versions

hal-00537977 , version 1 (19-11-2010)

Identifiants

  • HAL Id : hal-00537977 , version 1

Citer

Edison Roberto Cabral da Silva, Hubert Razik, Lane M. R. Baccarini, Mauricio B. de R. Corrêa, Cursino Brandao Jacobina. Use of artificial intelligence techniques and combined approaches in induction motor diagnosis. XVIII Congresso Brasileiro de Automática, Sep 2010, Bonito, Brazil. ⟨hal-00537977⟩
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