Study on SVM-based Fusion Algorithm Identifying Pipeline Crack Flaw MFL Signal Characteristics

Basing on the study of support vector machine(SVM),a SVM-based fusion algorithm was ana-lyzed.Through making use of the fusion algorithm process,the peak-to-peak value,wave crest value and wave hollow value ofmagnetic flux leakage signals were taken as the object of study.The research result testifies that this fusion algorithm can benefitMFL testing signal identification and buried-pipeline crack flaw detection.