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Chen Yuedong and Qu Liangsheng (Department of Mechanical Engineering, Xian Jiaotong University ,Xian 710049)
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陈岳东,屈梁生
Abstract: In recent years, artificial neural networks(ANNs) have been successfully used in many fields. In order to improve the accuracy of surveillance and diagnosis for large rotating machinery in chemical processes, first, the time domain signal is transformed into featuressuited for the learning of neural network, then, ANN(BP) is used to extract the features of the field vibrational signal. By means of the features extraced, it is easy to monitor the vibration situation of a machinery unit. Checking with practical vibration data has proved this method to be satisfactory.
Chen Yuedong and Qu Liangsheng (Department of Mechanical Engineering, Xian Jiaotong University ,Xian 710049). THE SURVEILLANCE OF LARGE ROTATING MACHINERY VIA ARTIFICIAL NEURAL NETWORKS[J]. .
陈岳东,屈梁生. 基于神经网络的大型回转机械运行状态监测 [J]. CIESC Journal.
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