Data-driven Methods for Fault Detection and Diagnosis in Chemical Processes
Data-driven Methods for Fault Detection and Diagnosis in Chemical Processes
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DOI：
10.1007/978-1-4471-0409-4
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发表时间：
2000-02
期刊：
影响因子：
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通讯作者：
E. L. Russell;Leo H. Chiang;R. Braatz
中科院分区：
文献类型：
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作者：
E. L. Russell;Leo H. Chiang;R. Braatz
对现代化工厂进行早期准确的故障检测和诊断可以最大限度地减少停机时间，提高工厂运行的安全性，并降低制造成本。在实践中最有效的过程监控技术是基于几乎完全由过程数据构建的模型。本书的目标是介绍数据驱动过程监控的理论背景和实用技术。过程监控技术包括：主成分分析; Fisher判别分析;偏最小二乘法;典型变量分析。文本演示了应用程序的所有数据驱动的过程监控技术，田纳西州伊士曼工厂模拟器，详细展示了每种方法的优点和缺点。这有助于读者为他的过程应用选择正确的方法。工厂模拟器和家庭作业的问题，学生应用过程监控技术的一个非平凡的模拟过程中，并可以比较他们的表现，在文本中的案例研究中获得。一些额外的家庭作业问题鼓励读者实施和获得更深入的理解的技术。读者将获得故障检测和诊断的数据驱动技术的背景知识，包括实施技术的能力，以及如何为特定应用选择正确的技术。
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 discriminant analysis; Partial least squares; Canonical variate analysis. The text demonstrates the application of all of the data-driven process monitoring techniques to the Tennessee Eastman plant simulator-demonstrating the strengths and weaknesses of each approach in detail. This aids the reader in selecting the right method for his process application. Plant simulator and homework problems in which students apply the process-monitoring techniques to a nontrivial simulated process, and can compare their performance with that obtained in the case studies in the text are included. A number of additional homework problems encourage the reader to implement and obtain a deeper understanding of the techniques. The reader will obtain a background in data-driven techniques for fault detection and diagnosis, including the ability to implement the techniques and to know how to select the right technique for a particular application.