摘要
本文利用神经网络模型建立了旋转机械常见故障的类别与征兆之间的映射关系.并利用这一模型对几种常见故障进行了分析诊断,诊断结果表明本方法精度高,结果可靠,对于工程应用具有一定的实用价值.
With BP neural network model, the mapping relationship between the type and the symptom of the common faults in rotating machinery is established in this paper. The Results obtained by diagnosing some of normal faults show that this method is in high accuracy,good reliability and possesses definitive practical value for engineering application.
出处
《振动．测试与诊断》
EI
CSCD
1993年第4期20-25,共6页
Journal of Vibration,Measurement & Diagnosis
关键词
BP神经网络
故障诊断
旋转机械
BP neural network,fault diagnosis,rotating machinery
