In this final part, we discuss fault diagnosis methods that are based on historic process
knowledge. We also compare and evaluate the various methodologies reviewed in this …

The article discusses the presence and potential of Artificial Intelligence in Chemical
Engineering and discusses its background. Topics include the Phases of Artificial …

There is an increasing demand for dynamic systems to become more safe and reliable. This
requirement extends beyond the normally accepted safety-critical systems of nuclear …

In this paper, an engine fault detection and classification technique using vibration data in
the crank angle domain is presented. These data are used in conjunction with artificial …

The detection and diagnosis of faults in technical systems are of great practical significance
and paramount importance for the safe operation of the plant. An early detection of faults …

Fault diagnosis of control engineering systems can be based upon the generation of signals
which reflect inconsistencies between the fault-free and faulty system operation-so-called …

This paper presents a new scheme for fault detection and diagnosis (FDD) in spacecraft
attitude determination (AD) sensors. An integrated attitude determination system, which …

A technique for the detection of shorted turns in the field-windings of operating synchronous
turbine-generators is described. The measuring method used is the twin-signal sensing …

This thesis describes practical learning systems able to model unknown nonlinear dynamic
processes from their observed input-output behaviour. Local Model Networks use a number …

Detection and diagnosis of faults in cement industry is of great practical significance and
paramount importance for the safe operation of the plant. In this paper, the design and …