2 papers
cs.LG2022
Novelty Detection in Time Series via Weak Innovations Representation: A Deep Learning Approach
Xinyi Wang, Mei-jen Lee, Qing Zhao +1
We consider novelty detection in time series with unknown and nonparametric probability structures. A deep learning approach is proposed to causally extract an innovations sequence…
eess.SY2020
A Deep Learning Approach to Anomaly Sequence Detection for High-Resolution Monitoring of Power Systems
Kursat Rasim Mestav, Xinyi Wang, Lang Tong
A deep learning approach is proposed to detect data and system anomalies using high-resolution continuous point-on-wave (CPOW) or phasor measurements. Both the anomaly and anomaly-…