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Abstract

In the process and manufacturing industries, there has been a large push to produce higher quality products, to reduce product rejection rates, and to satisfy increasingly stringent safety and environmental regulations. Process operations that were at one time considered acceptable are no longer adequate. To meet the higher standards, modern industrial processes contain a large number of variables operating under closed-loop control. The standard process controllers (PID controllers, model predictive controllers, etc.) are designed to maintain satisfactory operations by compensating for the effects of disturbances and changes occurring in the process. While these controllers can compensate for many types of disturbances, there are changes in the process which the controllers cannot handle adequately. These changes are called faults. More precisely, a fault is defined as an unpermitted deviation of at least one characteristic property or variable of the system [140].

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© 2001 Springer-Verlag London

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Chiang, L.H., Russell, E.L., Braatz, R.D. (2001). Introduction. In: Fault Detection and Diagnosis in Industrial Systems. Advanced Textbooks in Control and Signal Processing. Springer, London. https://doi.org/10.1007/978-1-4471-0347-9_1

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  • DOI: https://doi.org/10.1007/978-1-4471-0347-9_1

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-85233-327-0

  • Online ISBN: 978-1-4471-0347-9

  • eBook Packages: Springer Book Archive

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