NONSTATIONARY VIBRATION SIGNAL ANALYSIS OF HYDROTURBINE VIA CHIRPLET TRANSFORM

Abstract

Abstract: The nonstationary vibration signal of a hydroturbine rotor is pre-processed by means of frequency modulation and multi-rate filter banks firstly, and then is analyzed based on adaptive Chirplet decomposition and adaptive Gaussian Chirplet spectrogram. The optimization of the Chirplet parameters is modified according to the vibration characteristics of rotating machinery. Compared with the other time-frequency analysis methods, it is demonstrated that the adaptive Gaussian Chirplet spectrogram features high time-frequency resolution, immunity of cross term interference, and applicability to analysis of nonstationary vibration signal.

Key words: Adaptive signal decomposition, Chirplet transform, Hydroturbine, Nonstationary signal, Time-frequency analysis, Transients

CLC Number:

TH165.3

Feng Zhipeng;Chu Fulei. NONSTATIONARY VIBRATION SIGNAL ANALYSIS OF HYDROTURBINE VIA CHIRPLET TRANSFORM[J]. , 2005, 41(10): 11-16.

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NONSTATIONARY VIBRATION SIGNAL ANALYSIS OF HYDROTURBINE VIA CHIRPLET TRANSFORM

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