Introduction of Fingerprint Recognition Method for Machinery Faults Diagnosis

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This paper presents a novel method to diagnose turbine blade faults by analysing wavelet result based on fingerprint recognition method. The study focuses on applying the fingerprint features extraction method to extract faults information from wavelet displays. Fingerprint recognition method studied in this paper is known as fingerprint bifurcations points. Experimental results show that this method could potentially be used as a features recognition method to identify the different types of machinery faults such as rubbing and rotor unbalance.

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829-832

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June 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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