Intelligent manufacturing product identification and detection method based on machine hearing

The invention discloses an intelligent manufacturing product identification and detection method based on machine hearing. The method comprises the following steps: A, collecting a sound signal through a microphone; B, combining an acoustic algorithm and data analysis; C, on the basis of machine learning/deep learning, detecting products in the production line, and finding defective products, and positioning faults; D, performing intelligent judgment; C, accurately predicting a fault by using a deep learning model; and F, monitoring and detecting the existing equipment in real time, finding a suspected fault and performing intelligent early warning, and further predicting the service life of the equipment. 本发明专利公开了一种基于机器听觉的智能制造产品识别与检测方法,包含以下步骤:A,首先是通过麦克风收集声音信号：B,结合声学算法和数据分析；C,以机器学习/深度学习为基础，对生产线中的产品进行检测，找到不良品和定位故障；D,进行智能判断；E,利用深度学习模型来准确的预测故障；F,同时也可以对现有设备进行实时监控检测，发现疑似故障并做出智能预警，进一步还可以预测设备寿命。