2012 International Conference on Image Analysis and Signal Processing 2012
DOI: 10.1109/iasp.2012.6425012
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The processing of the rolling bearing's fault signal based on wavelet analysis

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“…Sharma and Pachori [17], in turn, proposed an iterative decomposition of the Hankel matrix, enabling the decomposition of the monocompetent signal and following Hilbert transform, the amplitude is determined as well as frequency functions of each decomposed component. Another use of wavelet analysis can be found, for example, in [18][19][20]. Yeap et al [21] and Sejdić et al [22] summarise some of the advantages and disadvantages of the FFT and WT methods.…”
Section: Signal Analysis and Anomaly Detection Methodsmentioning
confidence: 99%
“…Sharma and Pachori [17], in turn, proposed an iterative decomposition of the Hankel matrix, enabling the decomposition of the monocompetent signal and following Hilbert transform, the amplitude is determined as well as frequency functions of each decomposed component. Another use of wavelet analysis can be found, for example, in [18][19][20]. Yeap et al [21] and Sejdić et al [22] summarise some of the advantages and disadvantages of the FFT and WT methods.…”
Section: Signal Analysis and Anomaly Detection Methodsmentioning
confidence: 99%