Thickness Measuring of Multilayer Conductor Based on Eddy Current Testing
Eddy current testing (ECT) is becoming a widely used inspection technique, particularly in the aircraft, power and nuclear industries. Many factors may affect the eddy current response. Inverse problems to determine the thickness from ECT signals of multilayer conductors have been a challenge for a certain degree. The objectives of this study are to introduce a method based on improved Back Propagation neural network (BPNN) to identify the multilayer thickness from their ECT signals. The simulation study and an experimental validation carried out on a number of specimens with different known thickness confirmed the suitability of the proposed approach for multilayer thickness measuring.
Eddy-current Testing Inverse Problems Multilayer Conductor Improved BP Neural Network Thickness Measuring
Li Guohou Kang Xusheng Huang Pingjie Chen Peihua Hou Dibo Zhang Guangxin Zhou Zekui
National Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou 310027, Chin National Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou 310027, Chin
国际会议
2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)
广西桂林
英文
3269-3272
2009-06-17（万方平台首次上网日期，不代表论文的发表时间）