Xing Huang

Stable Implicit Conditioning With Residual Statistics for Multivariate Time-Series Anomaly Detection in Industrial IoT Monitoring

Timely anomaly detection in Industrial Internet of Things (IIoT) monitoring requires robust modeling of noisy multivariate sensor streams. Although decomposition-derived residuals provide a potentially useful auxiliary view for multivariate time-series anomaly detection (MTSAD), they are not clean anomaly surrogates in...