摘要
近年来,BP神经网络在结构损伤检测、超声检测、漏磁检测和声发射检测中的应用越来越受到关注。BP神经网络是解决各个领域复杂问题的有力工具。文章介绍其基本原理和算法改进方面的研究进展,并综述BP神经网在各个无损领域的应用情况。最后,展望BP神经网络在结构损伤检测、超声检测、漏磁检测和声发射检测方面的未来发展方向。
In recent years,the application of BP neural networks in structural damage detection,ultrasonic detection,magnetic flux leakage detection,and acoustic emission detection has received increasing attention.BP neural network is a powerful tool for solving complex problems in various fields.This article introduces the basic principles and research progress in algorithm improvement,and summarizes the application of BP neural networks in various non-destructive fields.Finally,the future development direction of BP neural network in structural damage detection,ultrasonic detection,magnetic flux leakage detection,and acoustic emission detection is prospected.
作者
武美先
张东利
WU Meixian;ZHANG Dongli(School of Mechanical and Electrical Engineering,North Minzu University,Yinchuan 750021,China)
出处
《中国测试》
CAS
北大核心
2023年第S02期1-6,共6页
China Measurement & Test
基金
宁夏自然科学基金重点项目(2022AAC02042)
关键词
BP神经网络
结构损伤检测
超声检测
漏磁检测
声发射检测
损伤特征量
BP neural network
structural damage detection
ultrasonic detection
magnetic flux leakage detection
acoustic emission detection
damage feature quantity
作者简介
武美先(1972-),女,山西太原市人,讲师,硕士,研究方向为神经网络、无损检测、人工智能等;通信作者:张东利(1969-),男,山西太原市人,副教授,博士,研究方向为涡流无损检测、机械故障诊断等。
