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Dieter Filbert

Technical Diagnosis for the Quality Control of Fractional H.P. Motors

Modern methods of signal processing are increasingly gathering interest in the application of the quality test of electric motors. Not only the detection of a fault is important, but also the kind, the location, and the cause of a fault. The paper deals with applications of pattern recognition, especially the feature generation, the feature evaluation, the feature selection and the fault classification. The Blind Source Separation is a mean for the suppression of unwanted noise of the test environment. A model-based method for the determination of suitable features in the frequency domain is presented.

tm – Technisches Messen, Oldenbourg Wissenschaftsverlag

Print ISSN: 0171-8096
Volume: 70, 09/2003
Pages: 417

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