A theoretical characterization of the error rate for log-likelihood ratio anomaly detection in linear Gaussian dynamical systems is provided, along with its application to observer design.
Industrial Process Monitoring in the Big Data/Industry 4.0 Era: from Detection, to Diagnosis, to Prognosis
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.SY 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Detectability of Subtle Anomalies in Dynamical Systems via Log-Likelihood Ratio
A theoretical characterization of the error rate for log-likelihood ratio anomaly detection in linear Gaussian dynamical systems is provided, along with its application to observer design.