Wavelet energy entropy based multi-sensor data fusion for residual stress measurement using innovative intense magnetic memory method

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. Multi-sensor 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.