Wonder Club world wonders pyramid logo
×

Data-Driven Methods For Fault Detection And Diagnosis In Chemical Processes Book

Data-Driven Methods For Fault Detection And Diagnosis In Chemical Processes
Data-Driven Methods For Fault Detection And Diagnosis In Chemical Processes, , Data-Driven Methods For Fault Detection And Diagnosis In Chemical Processes has a rating of 3 stars
   2 Ratings
X
Data-Driven Methods For Fault Detection And Diagnosis In Chemical Processes, , Data-Driven Methods For Fault Detection And Diagnosis In Chemical Processes
3 out of 5 stars based on 2 reviews
5
0 %
4
0 %
3
100 %
2
0 %
1
0 %
Digital Copy
PDF format
1 available   for $159.00
Original Magazine
Physical Format

Sold Out

  • Data-Driven Methods For Fault Detection And Diagnosis In Chemical Processes
  • Written by author Evan L. Russell
  • Published by Springer-Verlag New York, LLC, March 2000
  • 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 bas
Buy Digital  USD$159.00

WonderClub View Cart Button

WonderClub Add to Inventory Button
WonderClub Add to Wishlist Button
WonderClub Add to Collection Button

Book Categories

Authors

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.


Login

  |  

Complaints

  |  

Blog

  |  

Games

  |  

Digital Media

  |  

Souls

  |  

Obituary

  |  

Contact Us

  |  

FAQ

CAN'T FIND WHAT YOU'RE LOOKING FOR? CLICK HERE!!!

X
WonderClub Home

This item is in your Wish List

Data-Driven Methods For Fault Detection And Diagnosis In Chemical Processes, , Data-Driven Methods For Fault Detection And Diagnosis In Chemical Processes

X
WonderClub Home

This item is in your Collection

Data-Driven Methods For Fault Detection And Diagnosis In Chemical Processes, , Data-Driven Methods For Fault Detection And Diagnosis In Chemical Processes

Data-Driven Methods For Fault Detection And Diagnosis In Chemical Processes

X
WonderClub Home

This Item is in Your Inventory

Data-Driven Methods For Fault Detection And Diagnosis In Chemical Processes, , Data-Driven Methods For Fault Detection And Diagnosis In Chemical Processes

Data-Driven Methods For Fault Detection And Diagnosis In Chemical Processes

WonderClub Home

You must be logged in to review the products

E-mail address:

Password: