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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.
Citations
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Authors (3)
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Len Gelman PhD
- Institute for Aerospace Sciences - Centre for Cyberphysical Systems Cranfield University
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Details
- Category:
- Conference activity
- Type:
- publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
- Title of issue:
- Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED), 2015 IEEE 10th International Symposium on strony 333 - 337
- Language:
- English
- Publication year:
- 2015
- Bibliographic description:
- Ciszewski T., Swędrowski L., Gelman L.: Induction Motor Bearings Diagnostic Using MCSA and Normalized Tripple Covariance// Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED), 2015 IEEE 10th International Symposium on/ : , 2015, s.333-337
- DOI:
- Digital Object Identifier (open in new tab) 10.1109/demped.2015.7303711
- Verified by:
- Gdańsk University of Technology
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