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Abstract
Diagnosis of induction motors, conducted remotely by measuring and analyzing the supply current is attractive with the lack of access to the engine. So far there is no solution, based on analysis of current, the credibility of which allow use in industry. Statistics of IM bearing failures of induction motors indicate, that they constitute more than 40% of IM damage, therefore bearing diagnosis is so important. The article provides an overview of selected methods of diagnosis of induction motor bearings, based on measurement of the supply current. The problem here is the high disturbance components level of the motor current in relation to diagnostic components. The paper presents the new approach to signal analysis solutions, based on statistical methods, which have been adapted to be used by this diagnostic system. First experimental results with use of this method are also presented, they confirm the advantages of this method.
Authors (3)
-
Len Gelman PhD
- . .
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- Category:
- Conference activity
- Type:
- publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
- Published in:
-
NDTnet
pages 1 - 8,
ISSN: 1435-4934 - Title of issue:
- 19 th World Conference on Non-Destructive Testing 2016 strony 1 - 8
- Language:
- English
- Publication year:
- 2016
- Bibliographic description:
- Swędrowski L., Ciszewski T., Gelman L.: Current based Normalized Triple Covariance as a bearings diagnostic feature in induction motor// 19 th World Conference on Non-Destructive Testing 2016/ : , 2016, s.1-8
- Verified by:
- Gdańsk University of Technology
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