Data-driven modeling and applications in plant-wide processes have recently caught much
attention in both academy and industry. This paper provides a systematic review on data …

Alarm systems play critically important roles for the safe and efficient operation of modern
industrial plants. However, most existing industrial alarm systems suffer from poor …

Process industry encompasses the transformation of individual raw ingredients into final
products. Increasingly, Artificial Intelligence (AI) systems in the industry have led to higher …

This paper considers the problem of real-time detection and classification of power quality
disturbances in power delivery systems. We propose a sequential and multivariate …

Almost every day we read about new advances in self-driving cars and artificial intelligence.
For autonomous driving, there already exist established standards with six levels describing …

Outlier detection and correction of time-series referred to as preprocessing, play a vital role
in forecasting in power systems. Rigorous research on this topic has been made in the past …

The rise of artificial intelligence (AI) promises productivity gains in industrial practice. While
IT technology offers a variety of technological advances, plant owners strive for stability and …

The large amount of data generated by industrial plants provides an excellent opportunity to
use Machine Learning (ML) for a better understanding of plant behaviour. Thus, supporting …

Efficient disturbance detection is important for power system security and stability. In this
paper, a new detection method is proposed based on a time series analysis technique …

Anomaly detection methods are used for fast and reliable detection of abnormal events in
industrial processes. The early detection of anomalies can avoid critical process …