摘要
异步电机作为整个传动系统的灵魂,如果没有异步电机的正常工作就无法完成其他各项工作。基于此,本文采用深度学习的方法来对异步电机故障进行诊断,通过深入研究精准找到异步电机发生故障的部位以及快速找寻到异步电机故障的诊断方法,从而进一步提高异步电机的使用寿命。
As the soul of the whole transmission system,asynchronous motor can not complete other work without the normal work of asynchronous motor.Based on this,this paper uses the method of deep learning to diagnose the fault of asynchronous motor,through in-depth study,accurately find the fault location of asynchronous motor and quickly find the fault diagnosis method of asynchronous motor,so as to further improve the service life of asynchronous motor.
作者
轩艳文
XUAN Yanwen(Shanghai Institute of Electrical Engineering,Shanghai 201306)
出处
《智能建筑与工程机械》
2020年第6期42-44,共3页
Intelligent Building and Construction Machinery
关键词
深度学习
DBN
异步电机
故障诊断
deep learning
DBN
asynchronous motor
fault diagnosis
