摘要
将参数估计法和人工神经网络法应用于电动机故障检测与诊断。建立了永磁直流电动机的线性动态增量数学模型。对某一型号永磁直流电动机进行实验，初步验证上述理论应用在电动机故障检测与诊断中的正确性、可行性。
This paper expatiates the process of establishing the linear dynamic increment model of permanent-magnet DC motor.It discusses the way of applying parameter estimation method to realizing the motor fault detection and diagnosis.Using a set of motor fault detection system,we experiment on a type of permanent-magnet DC motor,including faultless motors and motors with different faults.This validates the feasibility of applying parameter estimation method on motor fault detection and diagnosis.This paper introduces a kind of artificial intelligent method,that is,artificial neuron network.The combination of the parameter estimation methods and artificial neuron network can analyze and locate the fault effectively,and improve the veracity.
出处
《微特电机》
北大核心
1999年第6期8-12,共5页
Small & Special Electrical Machines
关键词
永磁直流电动机
故障检测
参数估计
神经网络
motor fault detection and diagnosis parameter estimation neural network
