An Anomaly Detection Framework for Multi-Variate Time Series in Electric Vehicles
Bailin Feng, Yu Ye · 2022 2nd Asia-Pacific Conference on Communications Technology and Computer Science (ACCTCS) · 2022
The electric vehicle is drawing great attention recently because of both the convenience it offers and the safety issues it possesses. With more vehicle driving log files available, we are able to use the data mining techniques to cope with these safety issues, e.g., thermal runaway. In this paper, we propose an anomaly detection framework for electric vehicles using the multi-variate time series data collected from vehicles driving log files. Some experimental results are shown to validate the proposed framework.