Abstract
A filter construction technique is presented for enhanced defect identification in rotary machine systems. Based on the generalized harmonic wavelet transform, a series of sub-frequency band wavelet coefficients are constructed by choosing different harmonic wavelet parameter pairs. The energy and entropy associated with each sub-frequency band are then calculated. The filtered signal is obtained by choosing the wavelet coefficients whose corresponding sub-frequency band has the maximum energy-to-entropy ratio. Experimental studies using rolling bearings that contain different types of structural defects have confirmed that the developed new technique enables high signal-to-noise ratio for effective machine defect identification.
| Original language | English |
|---|---|
| Pages (from-to) | 3203-3217 |
| Number of pages | 15 |
| Journal | Journal of Sound and Vibration |
| Volume | 329 |
| Issue number | 15 |
| DOIs | |
| State | Published - 19 Jul 2010 |
| Externally published | Yes |