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《Journal of Southeast University(Natural Science Edition)》 2009-06
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Recognition of acoustic emission based on wavelet entropy in noisy condition

Deng Aidong1 Zhao Li2 Bao Yongqiang3 Gao Wei1(1National Engineering Research Center of Turbo-generator Vibration,Southeast University,Nanjing 210096,China)(2School of Information Science and Engineering,Southeast University,Nanjing 210096,China)(3School of Communication Engineering,Nanjing Institute of Technology,Nanjing 210067,China)  
In acoustic emission(AE) technique,to avoid the serious noise disturbance in the fault diagnosis of rotary machine,a recognition algorithm based on wavelet entropy(WE) is proposed.First,through setting up an appropriate threshold,an AE signal is decomposed by wavelet transform.Secondly,the AE signal is divided into some equal frames to keep the characteristic approximately constant in a short time interval,and the WE of each frame can be calculated.Thirdly,through comparing the value of each WE with the threshold,it can be determined whether the frame belongs to AE frames or noise frames.To test the recognition efficiency of this algorithm,a rub impact AE signal obtained from a rotating test stand is added with white noise and non-stationary noise at various signal-to-noise ratios(SNRs),followed by AE recognition.The experimental results indicate that this algorithm has a high recognition efficiency.In a low SNR environment,the recognition efficiency can be improved by adjusting the parameter of the threshold.
【Fund】: 国家高技术研究发展计划(863计划)资助项目(2007AA04Z4334);; 国家自然科学基金资助项目(60872073);; 东南大学科学基金资助项目(KJ2009348)
【CateGory Index】: TH165.3
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