Wavelet Energy Entropy Based Multi-Sensor Data Fusion for Residual Stress Measurement Using Innovative Intense Magnetic Memory Method

摘要：

In this paper, a novel and effective NDT method named Intense Magnetic Memory (IMM) was introduced to inspect transmission pipeline, which can provide early indications of residual stress status and eventual failure in pipeline. An experimental system was set up and the abnormal signals obtained from pipeline specimens were decomposed by wavelet transform (WT). Wavelet energy entropy was used to extract characteristic from abnormal signals. Multisensor data fusion algorithm was applied to get the whole stress concentration distribution. Initial experimental result shows that it is promising for IMM technology being applied to pipeline inspection.

关键词： wavelet transform energy entropy, stress concentration multi-sensor data fusion intense magnetic memory

作者: Zhang Lan Fan Jianchun Zhang Laibin Jia Yunhang

作者单位: College of Mechanical & Electrical Engineering,China University of Petroleum 18 Fuxue Road,102249 Changping Beijing,China

会议类型: 国际会议

会议名称: 2009 9th International Conference on Electronic Measurement & Instruments(第九届电子测量与仪器国际会议 ICEMI2009)

会议地点: 北京

会议语种:英文

页码: 2121-2124

在线出版日期: 2009-08-16（万方平台首次上网日期，不代表论文的发表时间）