With the continuous increase in complexity and expense of industrial systems, there is less
tolerance for performance degradation, productivity decrease, and safety hazards, which …

Faults and failures in the system components are two main reasons for the instability and the
degradation in control performance. In recent decades, fault-tolerant control (FTC) …

Abstract The Digital Twin (DT) is one of the most promising technologies in the digital
transformation market. A digital twin is a virtual copy of a physical system that emulates its …

This article proposes a novel method as an improvement of the active fault detection method
for eliminating the negative influences generated by accessorial signals used in it. In this …

The predictive maintenance of wind turbines has become a critical issue with the rapid
development of wind power generation. The early detection of abnormal operation …

Recently, there has been interest in developing diagnosis methods that combine model-
based and data-driven diagnosis. In both approaches, selecting the relevant measurements …

Model-based diagnosis methods rely on a model that defines nominal behavior of a
dynamic system to detect abnormal behaviors and isolate faults. On the other hand, data …

Highlights•Smart Manufacturing requires the elimination of safety incidents when maximize
economic competitiveness.•Methods of abnormal situation management with safety risk …

In the present study, data‐driven fault diagnosis (FD) systems of chemical plants dealing
with frequent and rare faults are investigated. Although different faults occur with different …

This chapter presents the basic concepts of condition monitoring and fault diagnosis, with
special attention to the definition of terminology and design approaches. Actually, the …