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《Journal of Daqing Petroleum Institute》 2001-01
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Availability of acoustic emission signals on ANN method

DAI Guang, LI Wei, ZHANG Ying, SHEN Gui\|ying ( Dept of Mechanical Engineering, Daqing Petroleum Institute, Anda, Heilongjiang 151400, China )  
In view of practical experience of AE inspection of pressure vessels, we choose 5 AE parameters as subjects, using artificial neural networks (ANN) signal processing technology to study the theory and experiment of recognizing the availability of AE signal. The result of date processing indicats that using the improved ANN model of Back Propagation (BP) and the program written in this method can obviously raise the rate of signal distinguishing available from AE data. Effective analysis of AE data is carred out, and 1 454 events are obtained. The result shows error rate is 0.8%.
【Fund】: 中国石油天然气集团公司“九五”重点科技攻关项目 !(97611-1)
【CateGory Index】: TP183
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