Application of Time-Frequency Analysis & Blind Source Separation to Diagnosis of Faults with Generator Rotor System

Hong Li Wang; Bing Xu; Xue Dong Xue; Kan Cheng

doi:10.4028/www.scientific.net/AMM.556-562.2748

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 556-562Application of Time-Frequency Analysis & Blind...

Application of Time-Frequency Analysis & Blind Source Separation to Diagnosis of Faults with Generator Rotor System

Abstract:

One method for diagnosis of faults with generator rotor is contrived by combining local wave method and blind source separation. Time-frequency image varies with local wave of different fault signals, and this feature is applied to identify different faults. In order to realize automatic classification of faults, blind source separation is employed for separation of independent components in time-frequency image of local wave of different fault signals, so as to derive projection coefficients for a set of source images. On the basis of this, automatic classification of faults is realized with probability nerve network. Taking fault signal of rotor as an example, this method is investigated, and the validity is proved by experimental results.

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Periodical:

Applied Mechanics and Materials (Volumes 556-562)

Pages:

2748-2751

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.556-562.2748

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Online since:

May 2014

Authors:

Hong Li Wang*, Bing Xu, Xue Dong Xue, Kan Cheng

Keywords:

Blind Source Separation, Empirical Mode Decomposition (EMD), Fault Diagnosis, Generator Rotor, Time-Frequency Image

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References

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