Port equipment operation and maintenance fault sound monitoring method based on collaborative neural network algorithm

The invention provides a port equipment operation and maintenance fault sound monitoring method based on a collaborative neural network algorithm, and the method comprises the steps: pre-collecting sound data which comprise sound data of normal operation of equipment and fault sound data; extracting audio features in the pre-collected sound data; and creating a sound recognition model based on the extracted audio features, and recognizing fault sound by using the sound recognition model. According to the harbor equipment operation and maintenance fault sound monitoring method based on the collaborative neural network algorithm, a harbor equipment operation fault detection scheme is provided, sound faults are identified in a graded mode, and then a processing method is provided in a hierarchical mode. 本发明提供了一种基于协同神经网络算法的港口设备运维故障声音监测方法，包括：预采集声音数据，声音数据包括设备正常运行的声音数据和故障声音数据；提取预采集声音数据中的音频特征；基于提取的音频特征创建声音识别模型，利用声音识别模型识别故障声音。本发明所述的基于协同神经网络算法的港口设备运维故障声音监测方法提出了一种港口设备运行故障检测方案，对声音故障分级识别，进而分层次提出处理方法。