Study on multi-fractal fault diagnosis based on EMD fusion in hydraulic engineering

Study on multi-fractal fault diagnosis based on EMD fusion in hydraulic engineering •The measured shafting vibration data signal of the hydroelectric generating set is acquired through EMD.•The vibration signal waveform is identified and purified with EMD to obtain approximation coefficient of various fault signals.•The multi-fractal spectrum provides the distributed geometrical or probabilistic information of point.•EMD provides the real information for the next subsequent analysis and recognition. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Applied Thermal Engineering Elsevier

Study on multi-fractal fault diagnosis based on EMD fusion in hydraulic engineering

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Publisher
Elsevier
Copyright
Copyright © 2016 Elsevier Ltd
ISSN
1359-4311
eISSN
1873-5606
D.O.I.
10.1016/j.applthermaleng.2016.04.036
Publisher site
See Article on Publisher Site

Abstract

•The measured shafting vibration data signal of the hydroelectric generating set is acquired through EMD.•The vibration signal waveform is identified and purified with EMD to obtain approximation coefficient of various fault signals.•The multi-fractal spectrum provides the distributed geometrical or probabilistic information of point.•EMD provides the real information for the next subsequent analysis and recognition.

Journal

Applied Thermal EngineeringElsevier

Published: Jun 25, 2016

References

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