The chemical industry is one of the key industrial sectors in Germany and at the same time
one of the largest consumers of energy and raw materials. A successful energy transition …

Deep learning-based methods have achieved a breakthrough in image anomaly detection,
but their complexity introduces a considerable challenge to understanding why an instance …

Effective fault detection and diagnosis (FDD) is crucial for proactively identifying irregular
states that could jeopardize operator well-being and process integrity. In the era of Industry …

In the field of industrial production, the precise and timely implementation of fault diagnosis
methods is crucial for improving product quality, enhancing operational safety, reducing …

Outlier detection in continuous nonlinear systems is essential as the presence of outliers
might be indicators of faults, diseases, cyberattacks, or system malfunctions. However, the …

Anomaly detection is important in various applications, from cyber-security, transportation,
industry, and finance to healthcare. The anomaly detection problem is to identify anomalies …

Anomalies in a chemical plant can have disastrous consequences from endangering
personnel and the environment to significant costs caused by damages in the plant …

Deep learning-based methods have achieved a breakthrough in image anomaly detection,
but their complexity introduces a considerable challenge to understanding why an instance …

The reliable detection of faults and anomalies in chemical processes is vital for safe
operation and high product quality in chemical industries. To date, human experts must …