The main roles of fault detection and diagnosis (FDD) for industrial processes are to make
an effective indicator which can identify faulty status of a process and then to take a proper …

The air brake system is critical for the proper functioning heavy commercial vehicles, and
maintaining its health is crucial to avoid unfortunate accident consequences. Due to the …

The consensus control problem of multi-agent systems (MASs) has received an increasing
research interest with ever-develo** consensus theory. Before it can be widely applied to …

Early detection of incipient faults in industrial processes is increasingly becoming important,
as these faults can slowly develop into serious abnormal events, an emergency situation, or …

In this article, a just-in-time-learning (JITL)-aided canonical correlation analysis (CCA) is
proposed for the monitoring and fault detection of multimode processes. A canonical …

This article proposes a new combination of a correlative statistical analysis and the sliding
window technique to detect incipient faults. Compared with the existing monitoring methods …

Incipient faults in electrical drives can corrupt overall performance of high-speed trains;
however, they are difficult to discover because of their slight fault symptoms. By sufficiently …

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

In order to detect the incipient faults of nonlinear industrial processes effectively, this paper
proposes an enhanced kernel principal component analysis (KPCA) method, called multi …

The moving average (MA)-type scheme, also known as the smoothing method, has been
well established within the multivariate statistical process monitoring (MSPM) framework …