This article is concerned with data-driven realization of fault detection (FD) for nonlinear
dynamic systems. In order to identify and parameterize nonlinear Hammerstein models …

Fault detection has long been a hot research issue for industry. Many common algorithms
such as principal component analysis, recursive transformed component statistical analysis …

Unsupervised fault detection and diagnosis methods generally have the following
shortcomings in their projection vectors: 1) they may not be specially designed to …

Fault diagnosis is the key technology to guarantee the reliability and safety of satellite
attitude control systems (ACSs). Although model-based methods have achieved good fault …

Utility systems provide heat and power to drive manufacturing processes, and they emit
large amounts of carbon dioxide. Introducing renewable energy into the traditional industrial …

Incipient fault detection (IFD) is important to the normal operation of modern complicated
industrial systems, keeping people safe and preventing property damage. In recent years …

Accurate process monitoring plays a crucial role in thermal power plants since it constitutes
large-scale industrial equipment and its production safety is of great significance. Therefore …

Planetary gearbox is one of the most important components of rotating machinery and plays
a key role in modern industry. Due to the complex physical structures and harsh working …

Inferential sensing is a cost-effective and reliable approach to replace expensive and
impractical hardware sensing, while yielding robust fault detection and isolation (FDI) during …

Modern industry processes are typically composed of multiple operating units with reaction
interaction and energy–mass coupling, which result in a mixed time-varying and spatial …