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Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering
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Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems (Paperback, Softcover reprint of the original 1st ed. 2014)
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Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems (Paperback, Softcover reprint of the original 1st ed. 2014)
Series: Advances in Industrial Control
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Data-driven Design of Fault Diagnosis and Fault-tolerant Control
Systems presents basic statistical process monitoring, fault
diagnosis, and control methods and introduces advanced data-driven
schemes for the design of fault diagnosis and fault-tolerant
control systems catering to the needs of dynamic industrial
processes. With ever increasing demands for reliability,
availability and safety in technical processes and assets, process
monitoring and fault-tolerance have become important issues
surrounding the design of automatic control systems. This text
shows the reader how, thanks to the rapid development of
information technology, key techniques of data-driven and
statistical process monitoring and control can now become widely
used in industrial practice to address these issues. To allow for
self-contained study and facilitate implementation in real
applications, important mathematical and control theoretical
knowledge and tools are included in this book. Major schemes are
presented in algorithm form and demonstrated on industrial case
systems. Data-driven Design of Fault Diagnosis and Fault-tolerant
Control Systems will be of interest to process and control
engineers, engineering students and researchers with a control
engineering background.
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