The main subject matter of the book is related to the demands of
research and industrial centers for diagnostics, monitoring, and
decision-making systems that result from the increasing complexity
of automation and systems, the need to ensure the highest level of
reliability and safety, and continuing research and the development
of innovative approaches to fault diagnosis. Most welcome are
combinations of domains of engineering knowledge for diagnosis,
including detection, isolation, localization, identification,
reconfiguration, and fault-tolerant control. This field is open to
new challenges, including industrial diagnostics, diagnostics of
computer systems and networks, as well as non-industrial
applications in the form of medical diagnostics, especially those
based on artificial intelligence and deep neural networks. Our
community is mainly interested in the following six topics: fault
detection, isolation, and identification (FDI); (ii) fault-tolerant
control systems; (iii) process safety, quality, and reliability;
(iv) medical diagnostics; as well as (v) methodologies based on
mathematical modeling, parameter identification and state
estimation, qualitative models, statistical and signal processing,
artificial intelligence, fuzzy logic and rough sets, expert
systems, neural networks; and (vi) industrial applications of
diagnostics in fault-tolerant problems, safety, monitoring and
alarming, quality control, computer systems and networks,
diagnostic software, software reliability, medicine and therapy,
environment protection, production control, and other industries
such as chemistry, electronics, and power systems. The book is
divided into six parts: (I) Artificial Intelligence in Medicine;
(II) Cybersecurity; (III) Artificial Neural Networks; (IV) Fault
Detection; (V) Systems Modeling; and (VI) Adaptive, Robust and FTC
Systems.
General
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