机械故障诊断的人工神经网络方法

Artificial Neural Networks in Mechanical Fault Diagnosis

提出了将人工神经网络（ＡｒｔｉｆｉｃｉａｌＮｅｕｒａｌＮｅｔｗｏｒｋｓ，ＡＮＮ）应用于机械故障诊断的理论和方法，并对ＡＮＮ在信号处理如自适应噪声消除和特征量提取、设备状态识别与故障定位、传感器信息融合以及故障诊断专家系统中的应用作了详细的讨论。通过初步的实践证明：与传统的诊断方法相比。

In this paper,the methodology is proposed that artificial neural networks are used in mechanical fault diagnosis.And it is discussed in detail that ANNs are applied to noise cancel,feature extraction,condition recognition and fault location and expert systems for fault diagnosis.ANNs are proved to be more effective and useful than traditional methods.