【摘要】 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更多还原

【Abstract】 Wear debris recognition is important in ferrography technology, which is now widely applied to condition monitoring of machinery. In this paper a method, which adopts a forward neural network to classify debris into seven type, is proposed. A test proves that the classification neural network works well in wear debris recognition.更多还原