Research on Defect Category Identification Method for Rough Surface Thick Wall Steel Plate Based on Autoencoder-BP Neural Network
Author:
Affiliation:
1. River Basin Hydropower Development Co., Ltd,Gongzui Hydropower Plant of Guoneng Dadu,Leshan,China
2. College of Electrical Engineering, Sichuan University,Chengdu,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10634996/10634864/10635036.pdf?arnumber=10635036
Reference9 articles.
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2. Study on Ultrasonic Detection Pattern Recognition of Natural Gas Steel Pipeline Defects
3. Detection and Classification of Artificial Defects on Stainless Steel Plate for a Liquefied Hydrogen Storage Vessel Using Short-Time Fourier Transform of Ultrasonic Guided Waves and Linear Discriminant Analysis
4. An automatic flaw classification method for ultrasonic phased array inspection of pipeline girth welds
5. An automatic defect classification and segmentation method on three-dimensional point clouds for sewer pipes[J];Niannian;Tunnelling and Underground Space Technology incorporating Trenchless Technology Research,2024
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