Identify on Acoustic Emission Signals of Tank Bottom Corrosion Using Hidden Markov Model

Yang Yu; Ming Yu Zhang

doi:10.4028/www.scientific.net/AMM.239-240.42

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 239-240Identify on Acoustic Emission Signals of Tank...

Identify on Acoustic Emission Signals of Tank Bottom Corrosion Using Hidden Markov Model

Abstract:

Aiming at the acoustic emission signals of oil storage tank bottom injured, hidden Markov algorithm is proposed to identify the tank bottom corrosion signal. Typical corrosion acoustic emission signal is divided into transient acoustic signal, continuous acoustic emission signal and mixed acoustic emission.Baum-Welch algorithm is used to train these typical corrosion acoustic emission signals model, then establish HMM model library. The forward-backward algorithm is used to compute each acoustic emission model’s output probability. The simulation experiments shows that the hidden Markov algorithm can correctly identified the acoustic emission signals.

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Periodical:

Applied Mechanics and Materials (Volumes 239-240)

Pages:

42-46

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.239-240.42

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Online since:

December 2012

Authors:

Yang Yu, Ming Yu Zhang

Keywords:

Acoustic Emission (AE), Hidden Markov Model (HMM), Tank Bottom Corrosion

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