摘要
结合电器产品的故障特点,利用小波变换对现场数据进行预处理,把神经网络和专家系统相结合,设计出一种快速、有效、具有自学习能力和知识库自扩充功能的电器智能故障诊断系统。
Based on analyzing the features of low voltage apparatus failures, preprocessing data using wavelet
transform, a kind of intelligent diagnosis system of low voltage apparatus failure based on neutral network and
expert system, Which is fast, effective and has functions of self-learning and knowledge base self-extending,
was put forward.
出处
《仪器仪表学报》
EI
CAS
CSCD
北大核心
2003年第z2期285-286,共2页
Chinese Journal of Scientific Instrument
关键词
智能电器
故障诊断
神经网络
小波变换
专家系统
Intelligent electrical apparatus
Fault diagnosis
Neural network
Wavelet transtorm
Expert system
