Application of Ultrasonic for Pipeline Flaw Detection
Zhou Runjing, Zhangfei · 2007
The principle of Ultrasonic detection and the detection method of the flaw signal are described. Wavelet neural network is used for signal processing of ultrasonic detection. This method that makes full use of characteristic of self-learning for wavelet neural network reduces wave loss. And convergence speed is improved by modifying error function. It is proved that this method has the good effect and acquires exact location of the flaw and amplitude of the flaw signal. Wavelet neural network is the great significance for signal processing of ultrasonic detection.