In this paper, three main time-frequency/time-scale (TF/TS) analysis algorithms - windowed Fourier transform (WFT), Wigner-Ville distribution (WVD), and wavelet analysis (WA), have been studied and implemented. We compare those different algorithms using an identical set of synthetic signals, from which one can realize their individual features. To justify the effectiveness and to highlight the importance of using TF/TS analysis, two experimental case studies have been conducted and investigated. One is the vibratory analysis of a robot with Gear Transmission Noise. The other is the investigation of nonstationary phenomena of a rotor-dynamics system with both an electro-mechanical clutch and brake.
|Number of pages||4|
|State||Published - 1996|
|Event||Proceedings of the 1996 IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis - Paris, Fr|
Duration: 18 Jun 1996 → 21 Jun 1996
|Conference||Proceedings of the 1996 IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis|
|Period||18/06/96 → 21/06/96|