Research on intelligent monitoring and fault diagnosis technology for woolen spinning machine workshop
In order to improve the running stability of woolen spinning machine,minimize the downtime of faults and optimize the production process of enterprises,a new technology of woolen spinning machine workshop intelligent monitoring and fault diagnosis was designed to improve the effectiveness of traditional intelligent monitoring and fault diagnosis methods in identifying potential faults.Vibration sensor,infrared sensor,displacement sensor and image sensor were used to collect signals from woolen spinning machine equipment.An intelligent remote monitoring device composed of server,remote monitoring client and data analysis client was designed.All parts were connected by Ethernet to implement intelligent monitoring among woolen spinning machine workshop.The LSTM-VAE hybrid model was designed,which combines the advantages of VAE model and LSTM model.The sensor data was used as input,and the early warning threshold was calculated for the workshop equipment through adaptive threshold algorithm,so as to realize the fault diagnosis among woolen spinning machine workshop.The test results show that the potential fault points determined by the design technology are very close to the actual potential fault points.By setting the adaptive threshold,the diagnosis results of the technology are more consistent with the equipment itself.
万方数据
维普
