Data-Driven and Model-Based Methods for Fault Detection and Diagnosis covers techniques that improve the quality of fault detection and enhance monitoring through chemical and environmental processes.
Author(s): Majdi Mansouri & Mohamed Faouzi Harkat & Hazem N Nounou & Mohamed N Nounou
322 Pages
Technology, Chemical & Biochemical
Description
Book Synopsis
Data-Driven and Model-Based Methods for Fault Detection and Diagnosis covers techniques that improve the quality of fault detection and enhance monitoring through chemical and environmental processes. The book provides both the theoretical framework and technical solutions. It starts with a review of relevant literature, proceeds with a detailed description of developed methodologies, and then discusses the results of developed methodologies, and ends with major conclusions reached from the analysis of simulation and experimental studies. The book is an indispensable resource for researchers in academia and industry and practitioners working in chemical and environmental engineering to do their work safely.
Dimensions (Overall): 9.0 Inches (H) x 6.0 Inches (W) x .67 Inches (D)
Weight: .95 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 322
Genre: Technology
Sub-Genre: Chemical & Biochemical
Publisher: Elsevier
Format: Paperback
Author: Majdi Mansouri & Mohamed Faouzi Harkat & Hazem N Nounou & Mohamed N Nounou
Language: English
Street Date: February 17, 2020
TCIN: 1011877021
UPC: 9780128191644
Item Number (DPCI): 247-34-1472
Origin: Made in the USA or Imported
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Shipping details
Estimated ship dimensions: 0.67 inches length x 6 inches width x 9 inches height
Estimated ship weight: 0.95 pounds
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