Application of artificial intelligence in fault detection of mechanical equipment

被引:3
|
作者
Qiao Tingting [1 ]
机构
[1] Army Acad Armored Forces, Changchun, Peoples R China
来源
2020 5TH INTERNATIONAL CONFERENCE ON MECHANICAL, CONTROL AND COMPUTER ENGINEERING (ICMCCE 2020) | 2020年
关键词
traditional machinery; mechanical failure; smart technology;
D O I
10.1109/ICMCCE51767.2020.00303
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Under the premise of the continuous development of modern industrial automation, modern mechanical equipment is constantly toward automation, modernization, continuous process of development. Those traditional fault solutions have been unable to adapt to the development channels of modern mechanical equipment. It brings many new problems to the fault diagnosis system. In addition, intelligent technology is a significant sign of the development direction and strategy of emerging industries. In particular, it has significant advantages in solving circuit integration, cost budgeting and circuit diagnosis. It brings great convenience to the traditional mechanical fault diagnosis technology. This article is based on the traditional mechanical common faults, diagnostic methods and related concepts and it also describes some intelligent techniques that have been applied to solve the problems. The application of artificial intelligence in mechanical fault diagnosis is discussed.
引用
收藏
页码:1379 / 1382
页数:4
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