most citedDeep Anomaly Detection on Tennessee Eastman Process Data

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

cs.LG2025

Formally Exploring Time-Series Anomaly Detection Evaluation Metrics

Dennis Wagner, Arjun Nair, Billy Joe Franks +24

Undetected anomalies in time series can trigger catastrophic failures in safety-critical systems, such as chemical plant explosions or power grid outages. Although many detection m…

cs.LG2023★ 1 cited

Deep Anomaly Detection on Tennessee Eastman Process Data

Fabian Hartung, Billy Joe Franks, Tobias Michels +15

This paper provides the first comprehensive evaluation and analysis of modern (deep-learning) unsupervised anomaly detection methods for chemical process data. We focus on the Tenn…