Real-time intelligent failure diagnosis of electromechanical systems
Abstract
Optimum and ininterrupted operation of industrial mechanisms can not be sought without a system thaht allows, from one side, to prevent at an early stage the abnormalities that could appear in the different parts of the equipment and, from the other side, to diagnosis rapidly the disorders. In the proposed system of a completed automation of the diagnosis process, reduction of the analysis-time and the intervention costs, the expert system is associated with an information acquisition system. The observation of the symptoms is accomplished by the information acquisition system. The observation of symptoms is accomplished by the information acquisition system. The expert system accomplishes the reasoning representing the intelligent part of the diagnosis.
Suggested Citation
Boukhemis Chetate , Abdesslam Lebaroud, and MohAmokrane Aitouche. "Real-time intelligent failure diagnosis of electromechanical systems" Advances in Modelling and Analysis 41.1, 2 (1999): 39-54.
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