Application of Anomaly Detection Algorithm in Industrial Sensor Data
In order to evaluate the application effect of the anomaly detection algorithm,the wireless temperature and vibration sensor VA330 was used to collect the equipment running state data in the industrial environment and evaluate the performance index of the algorithm in identifying abnormal data points.The results show that the anomaly detection algorithm performs well in processing data with obvious distribution characteristics,especially in the gearbox data,where the algorithm deduces possible bad problems in gear and coupling pairs to accommodate the existing industrial application scenarios.