The present paper brings together openly available datasets and simulators for testing of
process monitoring and fault diagnosis techniques. Some general characteristics of these …

This paper presents a comprehensive review of the historical development, the current state
of the art, and prospects of data-driven approaches for industrial process monitoring. The …

In this work, fault detection and isolation (FDI) of industrial automation systems with a closed-
loop configuration is under consideration. Specifically, the mean of the input and output …

Nonlinear modeling of modern industrial processes with multi-unit, large-scale
characteristics is very challenging. Centralized modeling involving all process variables at a …

Latent variable approaches are among the state-of-the-art methodologies for industrial
process monitoring. Their robustness, ease of implementation, theoretical maturity, and …

Due to the rapid development of high-speed trains, the fault diagnosis of electrical drive
systems is a hot issue. A fault diagnosis method for electrical drive systems based on …

Long-term equipment degradation have a major impact on plant safety, operation and
economy. We present an hybrid modeling approach to predict and analyse this type of …