Safe and stable operation plays an important role in the chemical industry. Fault detection
and diagnosis (FDD) make it possible to identify abnormal process deviations early and …

Rapid post-earthquake damage assessment forms a critical element of resilience, ensuring
a prompt and functional recovery of the built environment. Monitoring-based approaches …

Incipient fault detection and diagnosis (FDD) is a key technology for enhancing safety and
reliability of high-speed trains. This paper develops a real-time incipient FDD method named …

With the increasing installation of the wind turbines both onshore and offshore, condition
monitoring technologies and systems have become increasingly important in order to …

This paper considers data-based real-time adaptive Fault Detection (FD) in Grid-connected
PV (GPV) systems under Power Point Tracking (PPT) modes during large variations. Faults …

This paper presents an improved incipient fault detection method based on Kullback-Leibler
(KL) divergence under multivariate statistical analysis frame. Different from the traditional …

This paper presents a multi-sensor fusion strategy able to detect the spurious sensors data
that must be eliminated from the fusion procedure. The used estimator is the informational …

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

Incipient fault detection is growing as a challenging and hot topic in industrial and academic
areas. It is essential to avoid slight unpermitted changes of a system state that can be …

By dealing with the crowding problem caused by incipient faults, this brief will develop a new
fault detection and diagnosis (FDD) scheme called probability-relevant principal component …