Wavelet-based methods for the prognosis of mechanical and electrical failures in electric motors
- 31 March 2005
- journal article
- Published by Elsevier BV in Mechanical Systems and Signal Processing
- Vol. 19 (2), 411-426
- https://doi.org/10.1016/j.ymssp.2003.10.002
Abstract
No abstract availableThis publication has 9 references indexed in Scilit:
- Comparison of wavelet-based methods for the prognosis of failures in electric motorsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- CLASSIFICATION OF WAVELET MAP PATTERNS USING MULTI-LAYER NEURAL NETWORKS FOR GEAR FAULT DETECTIONMechanical Systems and Signal Processing, 2002
- WAVELETS FOR DETECTING MECHANICAL FAULTS WITH HIGH SENSITIVITYMechanical Systems and Signal Processing, 2001
- Application of model-based fault detection to a brushless DC motorIEEE Transactions on Industrial Electronics, 2000
- Fault detection and diagnosis of permanent-magnet DC motor based on parameter estimation and neural networkIEEE Transactions on Industrial Electronics, 2000
- Monitoring and diagnosis of induction motors electrical faults using a current Park's vector pattern learning approachIEEE Transactions on Industry Applications, 2000
- ARTIFICIAL NEURAL NETWORK BASED FAULT DIAGNOSTICS OF ROTATING MACHINERY USING WAVELET TRANSFORMS AS A PREPROCESSORMechanical Systems and Signal Processing, 1997
- An Algorithm for Finding Nearest NeighborsIEEE Transactions on Computers, 1975
- Nearest neighbor pattern classificationIEEE Transactions on Information Theory, 1967