期刊
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
卷 21, 期 1, 页码 108-124出版社
ACADEMIC PRESS LTD ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ymssp.2005.12.002
关键词
kurtogram; spectral kurtosis; transient detection; vibration surveillance and diagnostics; time frequency; wavelet analysis
The kurtogram is a fourth-order spectral analysis toot recently introduced for detecting and characterising nonstationarities in a signal. The paradigm relies on the assertion that each type of transient is associated with an optimal (frequency/frequency resolution) dyad {f,Delta f} which maximises its kurtosis, and hence its detection. However, the complete exploration of the whole plane (f, Delta f) is a formidable task hardly amenable to on-line industrial applications. In this communication we describe a fast algorithm for computing the kurtograin over a grid that finely samples the (f, Delta f) plane. Its complexity is on the order of N log N, similarly to the FFT. The efficiency of the algorithm is then illustrated on several industrial cases concerned with the detection of incipient transient faults. (c) 2006 Elsevier Ltd. All rights reserved.
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