Intelligent fault diagnosis of rolling element bearing based on SVMs and fractal dimension
- 31 July 2007
- journal article
- Published by Elsevier BV in Mechanical Systems and Signal Processing
- Vol. 21 (5), 2012-2024
- https://doi.org/10.1016/j.ymssp.2006.10.005
Abstract
No abstract availableThis publication has 14 references indexed in Scilit:
- Application of very-high-frequency (VHP) method to ceramic insulatorsIEEE Transactions on Dielectrics and Electrical Insulation, 2004
- Gear fault detection using artificial neural networks and support vector machines with genetic algorithmsMechanical Systems and Signal Processing, 2004
- Impulse fault classification in transformers by fractal analysisIEEE Transactions on Dielectrics and Electrical Insulation, 2003
- A comparison of methods for multiclass support vector machinesIEEE Transactions on Neural Networks, 2002
- THE APPLICATION OF CORRELATION DIMENSION IN GEARBOX CONDITION MONITORINGJournal of Sound and Vibration, 1999
- A neural-network approach to fault detection and diagnosis in industrial processesIEEE Transactions on Control Systems Technology, 1997
- ARTIFICIAL NEURAL NETWORK BASED FAULT DIAGNOSTICS OF ROTATING MACHINERY USING WAVELET TRANSFORMS AS A PREPROCESSORMechanical Systems and Signal Processing, 1997
- USING THE CORRELATION DIMENSION FOR VIBRATION FAULT DIAGNOSIS OF ROLLING ELEMENT BEARINGS—II. SELECTION OF EXPERIMENTAL PARAMETERSMechanical Systems and Signal Processing, 1996
- USING THE CORRELATION DIMENSION FOR VIBRATION FAULT DIAGNOSIS OF ROLLING ELEMENT BEARINGS—I. BASIC CONCEPTSMechanical Systems and Signal Processing, 1996
- Impracticality of a box-counting algorithm for calculating the dimensionality of strange attractorsPhysical Review A, 1982