In large-scale industrial processes, fault diagnosis is of paramount importance, as faults
jeopardize the stability and performance of processes. However, effective fault diagnosis …

Fault detection and diagnosis have gained central importance in the chemical process
industries over the past decade. This is due to several reasons, one of them being that …

This open access book assesses the potential of data-driven methods in industrial process
monitoring engineering. The process modeling, fault detection, classification, isolation, and …

In order to maximize the customer satisfaction and profit as well as to obey government
regulations, the complexity and automation degree of modern industrial processes are …

Traditional process monitoring methods cannot evaluate and grade the degree of harm that
faults can cause to an industrial process. Consequently, a process could be shut down …

A common approach in fault diagnosis is monitoring the deviations of measured variables
from the values at normal operations to identify the root causes of faults. When the number of …

This paper provides a state-of-the-art review of the methods and applications of data-driven
fault detection and diagnosis that have been developed over the last two decades. The …

Fault diagnosis is an important way to ensure the operation security in complex industrial
processes. Considering the inherent multiscale characteristics and time dependency about …

Abstract Fault Diagnosis and Health Monitoring (FD-HM) for modern control systems have
been an active area of research over the last few years. Model-based FD-HM computational …

In complex industrial processes, process fault detection and classification constitute an
important task for reducing production costs and improving product quality. Most existing …