Abstract Model-based methods are widely used for the fault diagnosis of stochastic dynamic
systems by simply using the input–output relationship of the system. Despite encouraging …

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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 …

Featuring a model-based approach to fault detection and diagnosis in engineering systems,
this book contains up-to-date, practical information on preventing product deterioration …

Fault diagnosis plays a vital role in ensuring safe and efficient operation of modern process
plants. Despite the encouraging progress in its research, develo** a reliable and …

Fault Detection and Isolation (FDI) is important in many industries to provide safe operation
of a process. To determine the kind, size, location and time of fault, many Fault detection and …

An unappealing characteristic of all real-world systems is the fact that they are vulnerable to
faults, malfunctions and, more generally, unexpected modes of-haviour. This explains why …

This monograph presents a variety of techniques that can be used for designing robust fault
diagnosis schemes for non-linear systems. The introductory part of the book is of a tutorial …

Illustrating techniques in model development, signal processing, data reconciliation, process
monitoring, quality assurance, intelligent real-time process supervision, and fault detection …

Fractions have recently become widespread in technology and science. The current
research looked at a fractional-order fuzzy PID controller. Furthermore, the tubular heat …