Title :
Nonstationary time-frequency analysis for machine condition monitoring
Author :
Pan, M.-C. ; Sas, P. ; Van Brussel, H.
Author_Institution :
Dept. of Mech. Eng., Katholieke Univ., Leuven, Belgium
Abstract :
In this paper, three main time-frequency/time-scale (TF/TS) analysis algorithms: windowed Fourier transform (WFT); Wigner-Ville distribution (WFD); and wavelet analysis (WA), have been studied and implemented. The authors compare these 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 motor with gear transmission noise and the other is the investigation of nonstationary phenomena of a rotor dynamics system with both an electromechanical clutch and brake
Keywords :
Fourier transforms; Wigner distribution; electric machines; machine testing; machine theory; time-frequency analysis; wavelet transforms; Wigner-Ville distribution; electromechanical brake; electromechanical clutch; gear transmission noise; nonstationary time-frequency analysis; robot motor; rotating machine condition monitoring; rotor dynamics system; time-frequency/time-scale analysis algorithms; vibratory analysis; wavelet analysis; windowed Fourier transform; Algorithm design and analysis; Cepstral analysis; Condition monitoring; Fourier transforms; Gears; Robots; Signal analysis; Signal processing algorithms; Time frequency analysis; Vibration measurement;
Conference_Titel :
Time-Frequency and Time-Scale Analysis, 1996., Proceedings of the IEEE-SP International Symposium on
Conference_Location :
Paris
Print_ISBN :
0-7803-3512-0
DOI :
10.1109/TFSA.1996.550096