By Evan L. Russell,Leo H. Chiang,Richard D. Braatz
The textual content demonstrates the applying of all the data-driven strategy tracking thoughts to the Tennessee Eastman plant simulator - demonstrating the strengths and weaknesses of every strategy intimately. This aids the reader in selecting the best strategy for his approach software. Plant simulator and homework difficulties during which scholars follow the process-monitoring strategies to a nontrivial simulated strategy, and will examine their functionality with that got within the case reports within the textual content are integrated. a couple of extra homework difficulties motivate the reader to enforce and procure a deeper realizing of the techniques.
The reader will receive a heritage in data-driven recommendations for fault detection and prognosis, together with the facility to enforce the ideas and to understand the right way to opt for the precise process for a selected application.
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Extra info for Data-driven Methods for Fault Detection and Diagnosis in Chemical Processes (Advances in Industrial Control)
Data-driven Methods for Fault Detection and Diagnosis in Chemical Processes (Advances in Industrial Control) by Evan L. Russell,Leo H. Chiang,Richard D. Braatz