An edge computing based anomaly detection method in IoT industrial sustainability

Xiang Yu, Xianfei Yang, Qingji Tan, Chun Shan, Zhihan Lv

Abstract: Highlights•The anomalies involved in sensor data from time series might have a great impact on the industrial sustainability.•This paper presents an anomaly detection model in distributed edge computing.•An Edge Computing based Anomaly Detection Algorithm (ECADA) is proposed.•When there exist the anomalies of new type, ECADA can detect them accurately.