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铁谱技术在机械设备状态监测中得到了广泛的应用，磨粒识别是铁谱分析的一个关键环节。本文提出了一种基于神经网络的磨粒识别方法，利用前馈型神经网络模型对七种典型磨损磨粒进行了实例分析识别，取得了令人满意的结果
Ferrography has been widely used in mechanical condition monitoring. Wear particle identification is a key part of ferrographic analysis. In this paper, a method of abrasive particle identification based on neural network is proposed. Seven typical wear abrasive particles are analyzed and identified by using feedforward neural network model. Satisfactory results