Please use this identifier to cite or link to this item:
http://nopr.niscpr.res.in/handle/123456789/14627| Title: | Novel methodology for broken-rotor-bar and bearing faults detection through SVD and information entropy |
| Authors: | Hernandez-Vargas, M Cabal-Yepez, E Garcia-Perez, A Romero-Troncoso, R J |
| Keywords: | Broken-rotor-bars (BRB);Faulty bearings (FBR);Field programmable gate arrays (FPGA);Induction motor;Information entropy;Singular value decomposition (SVD) |
| Issue Date: | Sep-2012 |
| Publisher: | NISCAIR-CSIR, India |
| Abstract: | This study introduces a novel methodology for early detection of broken-rotor-bars and bearing faults on induction motors by using singular value decomposition and information entropy estimation to detect motor operational condition. Proposed technique could detect these faults with a certainty greater than 99.7%. A field programmable gate array implementation is developed for online application of proposed approach in real-time. |
| Page(s): | 589-593 |
| ISSN: | 0975-1084 (Online); 0022-4456 (Print) |
| Appears in Collections: | JSIR Vol.71(09) [September 2012] |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| JSIR 71(9) 589-593.pdf | 89.18 kB | Adobe PDF | View/Open |
Items in NOPR are protected by copyright, with all rights reserved, unless otherwise indicated.