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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Burriel-Valencia, J. Sapena-Bano, A. Pineda-Sanchez, M. Martinez-Roman, J. |
| Copyright Year | 2015 |
| Description | Author affiliation: Dept. de Ing. Electr., Univ. Politec. de Valencia, Valencia, Spain (Burriel-Valencia, J.; Sapena-Bano, A.; Pineda-Sanchez, M.; Martinez-Roman, J.) |
| Abstract | This paper introduces a new method of fault diagnosis for induction motors, the Multilayer Park's Vector Approach, derived from the well-known fault diagnostic method based on Park's Vector Approach analysis. This new method allows the detection of failures in steady and transient regimes operation on induction motors. The resulting vector generated provides the information about deviations in the circularity of Park's vector for each motor cycle, allowing with this information the diagnosis of failures. As advantages, this method have a lower computational cost than others methods derived from the fault analysis with Park's Vector Approach. This requires only knowledge of supply frequency and control method, without setting parameters and without motor specification. To test the reliability of this method, a test of broken rotor bars through Multilayer Park's Vector Approach has been done, obtaining relevant characteristics for the successful broken rotor bar detection. |
| Starting Page | 775 |
| Ending Page | 780 |
| File Size | 2213222 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781479978007 |
| DOI | 10.1109/ICIT.2015.7125192 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-03-17 |
| Publisher Place | Spain |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Induction motors Rotors Circuit faults Steady-state Histograms Nonhomogeneous media Eigenvalues and eigenfunctions broken rotor bars induction motors Park's Vector Approach Multilayer Park's Vector Approach diagnosis detection |
| Content Type | Text |
| Resource Type | Article |
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