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Non-linear multivariate and multiscale monitoring and signal denoising strategy using kernel principal component analysis combined with ensemble empirical mode decomposition methodŽvokelj, Matej ; Zupan, Samo ; Prebil, IvanThe article presents a novel non-linear multivariate and multiscale statistical process monitoring and signal denoising method which combines the strengths of the Kernel Principal Component Analysis ... (KPCA) non-linear multivariate monitoring approach with the benefits of Ensemble Empirical Mode Decomposition (EEMD) to handle multiscale system dynamics. The proposed method which enables us to cope with complex even severe non-linear systems with a wide dynamic range was named the EEMD-based multiscale KPCA (EEMD-MSKPCA). The method is quite general in nature and could be used in different areas for various tasks even without any really deep understanding of the nature of the system under consideration. Its efficiency was first demonstrated by an illustrative example, after which the applicability for the task of bearing fault detection, diagnosis and signal denosing was tested on simulated as well as actual vibration and acoustic emission (AE) signals measured on purpose-built large-size low-speed bearing test stand. The positive results obtained indicate that the proposed EEMD-MSKPCA method provides a promising tool for tackling non-linear multiscale data which present a convolved picture of many events occupying different regions in the time-frequency plane.Source: Mechanical systems and signal processing. - ISSN 0888-3270 (Vol. 25, iss. 7, Oct. 2011, str. 2631-2653)Type of material - article, component partPublish date - 2011Language - englishCOBISS.SI-ID - 11953179
Author
Žvokelj, Matej |
Zupan, Samo |
Prebil, Ivan
Topics
jedrna metoda glavnih komponent |
ansambelska metoda empirične dekompozicije |
ležaji velikih dimenzij |
vibracije |
zvočne emisije |
kernel principal component analysis |
ensemble empirical mode decomposition |
large-size low-speed bearing |
vibration |
acoustic emission
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source: Mechanical systems and signal processing. - ISSN 0888-3270 (Vol. 25, iss. 7, Oct. 2011, str. 2631-2653)
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Database name | Field | Year |
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Links to authors' personal bibliographies | Links to information on researchers in the SICRIS system |
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Žvokelj, Matej | 25500 |
Zupan, Samo | 10555 |
Prebil, Ivan | 09806 |
Source: Personal bibliographies
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