摘要
应用基于人工神经网络的故障诊断方法,建立了除湿机故障诊断的RBF网络模型,并利用六种典型故障状态参数样本数据对神经网络进行训练。结果表明对于训练样本集和检验数据集,网络的输出与希望结果相符,表明基于人工神经网络的除湿机系统的故障诊断是行之有效的。
Based on the fault diagnosis of Neural Network, a RBF model of dehumidifier diagnose are constructed, trained and verified with the sampling data of six typical faults simulated. The results of diagnosis indicate that the outputs of models are in consistence with experiments data, so it is effective to diagnose the dehumidifier system with the neural network models.
出处
《制冷与空调（四川）》
2011年第4期387-392,共6页
Refrigeration and Air Conditioning
关键词
故障诊断
除湿机
神经网络
径向基函数
Fault-diagnosis
Cooling dehumidifiers
Neural Network
RBF
