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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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【Citations】
Chinese Journal Full-text Database 1 Hits
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【Co-citations】
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1 FENG Guo-tao, LIU Wo-ye, GAO Tie-lu, YANG Cheng (Dept. of Equipment Command & Management, Ordnance Engineering College, Shijiazhuang 050003, China);Decay Trend Prediction Model of Mechanical Equipment Capability[J];Ordnance Industry Automation;2006-10
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3 GU Xiao-hong 1,2*,CAI Jin-hui2,ZHOU Ze-ku2 1.College of Electrical and Mechanical Engineering.China Jiliang University,Hangzhou 310018,China;2.Department of Control Science nd Engineering,Zhejiang University,Hangzhou 310027,China;Measurement of Buried Iron Water Pipe Leak Based on Acoustic Emission Sensors and ChiMerge Rough Set Theory[J];Chinese Journal of Sensors and Actuators;2006-06
4 CHEN Xiao-qin, HE Zheng-you (Southwest Jiaotong University, Chengdu 610031, China);Recognition of Power Quality Disturbance Signals Based on Wavelet Entropy and Wavelet Entropy Weight[J];Electric Power Science and Engineering;2006-01
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7 JIA Yong,HE Zheng-you,ZHAO Jing (School of Electrical Engineering,Southwest Jiaotong University,Chengdu 610031,Sichuan Province,China);A Method to Identify Voltage Sag Sources in Distribution Network Based on Wavelet Entropy and Probability Neural Network[J];Power System Technology;2009-16
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