Data-Driven Methods for Fault Detection and Diagnosis in Chemical Processes

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Early and accurate fault detection and diagnosis for modern chemical plants can minimise downtime, increase the safety of plant operations, and reduce manufacturing costs. The process-monitoring techniques that have been most effective in practice are based on models constructed almost entirely from process data. The goal of the book is to present the theoretical background and practical techniques for data-driven process monitoring. Process-monitoring techniques presented include: Principal component analysis; Fisher ...

Data-Driven Methods for Fault Detection and Diagnosis in Chemical Processes 2012, Springer

ISBN-13: 9781447111337

2000 edition

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Data-Driven Methods for Fault Detection and Diagnosis in Chemical Processes 2000, Springer, London, England

ISBN-13: 9781852332587

Softcover Reprint of the Origi edition

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