风机的振动量测量是风机故障诊断的一个重要参量。
The vibrating signal is an important value in trouble diagnosis of fans.
提出了一种粗糙集理论与神经网络集成的风机故障诊断方法。
A new method of rough set and neural network for fan trouble diagnosis is presented.
基于多参数的风机状态监测与故障诊断系统的开发。
Development of the multiparameter condition monitoring and fault diagnosis system of fan.
基于多参数的风机状态监测与故障诊断系统的开发。
Development of the multiparameter condition monitoring and fault diagnosis system of fan.
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