An intelligent fault diagnosis method based on wavelet packer analysis and hybrid support vector machines

Automatic gear and bearing fault localization using vibration and acoustic signals

“…In principle, WPT is quite similar to discrete wavelet transform (DWT) for low frequency region [28][29][30][31]19]. The transformation can be achieved by implementing a pair of low-pass (hðkÞ) and high-pass (gðkÞ ¼ ðÀ1Þ k hð1 À kÞ) wavelet filters, also known as quadrature mirror filters (QMF).…”

Engine ignition signal diagnosis with Wavelet Packet Transform and Multi-class Least Squares Support Vector Machines

“…Discrete Wavelet Transform (DWT) (Daubechies, 1990) has been proven to be very efficient in signal analysis of many engineering applications (Avci, 2007a(Avci, , 2007bUyar, Yildirim, & Gencoglu, 2008;Wu, Hsu, & Wu, 2009;Übeyli, 2009a;Xian & Zeng;2009). The main advantage of DWT is that it constructs a varying support (window size), being dilated (wide) for low frequency and sharp (narrow) for high frequency.…”

Utilising the Wavelet Transform in Condition-Based Maintenance: A Review with Applications

“…The selected features were fed as input to SVM for classification. (Xian and Zeng, 2009) developed a new intelligent method for the fault diagnosis of the rotating machinery based on wavelet packet analysis (WPA) and hybrid support vector machines (hybrid SVM). The faulty vibration signals obtained from a gearbox were decomposed by WPA via Dmeyer wavelet.…”