PDCM: Periodicity-based Division and Covariance Matrix for Time Series Anomaly Detection
Purpose: The purpose of this study was to develop a multivariate time series anomaly detection model that distinguishes between periodic and non-periodic variables and processes them using dedicated architectures to improve anomaly detection performance.Methods: PDCM first applies the Fast Fourier Transform (FFT) to id...