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First, gearbox vibration signals were processed with wavelet packet decomposition, and the signal energy coefficients of each frequency band were extracted and ...
May 4, 2010 · Therefore, a method that combines SVM, wavelet lifting and rule-based reasoning ensures effective gearbox fault diagnosis. Keywords: gearbox; ...
... lifting and rule-based reasoning ensures effective gearbox fault diagnosis. ... Intelligent Gearbox Diagnosis Methods Based on SVM, Wavelet Lifting and RBR.
When the sample size is small, SVM can be used to recognize the gearbox fault pattern. The fault features can be effectively extracted by using wavelet lifting ...
This study effectively applied the Wavelet analysis technique to diagnose faulty gearboxes operated in non-stationary conditions.
They propose various methods for diagnosing gearbox faults, which includes using wavelet lifting, a support vector machine, and rule-based reasoning. ... ...
Intelligent gearbox diagnosis methods based on SVM, wavelet lifting and RBR. Sensors. (2010). ZhangT. et al. A small sample focused intelligent fault diagnosis ...
Results have shown that SVM is a powerful tool to accomplish gearbox fault pattern recognition when the sample size is small, whereas the wavelet lifting scheme ...
5 Citations · A fault diagnosis method based on AWA-SVM of complicated equipment · Intelligent Gearbox Diagnosis Methods Based on SVM, Wavelet Lifting and RBR.
In this paper, a method based on wavelet support vector machine (SVM) with OAOT algorithm, multi-layer perceptron (MLP) and Morlet wavelet transform were ...