ANOMALY DETECTION METHOD USING CONFIDENCE INTERVAL ESTIMATION BASED ON TIME SERIES ANALYSIS

摘要

Provided is an abnormality detection method using confidence interval estimation based on time series analysis, which comprises: acquiring sensor data from a wireless sensor network; estimating a confidence interval for real-time abnormality detection based on the acquired sensor data by using a moving average method; and determining as abnormal when the value of the sensor data acquired after an estimation viewpoint is out of the range of the estimated confidence interval.