On-Line Fault Detection and Supervision in the Chemical Process Industries 1998

Paperback (Print)
Buy New
Buy New from BN.com
$105.45
Used and New from Other Sellers
Used and New from Other Sellers
from $16.66
Usually ships in 1-2 business days
(Save 85%)
Other sellers (Paperback)
  • All (3) from $16.66   
  • New (3) from $16.66   

Overview

The field of "On-Line Fault Detection and Supervision in the Chemical Process Industries" is relatively young. Major activity in this area has taken place only in the last fifteen years. The goals of the first workshop in Delaware were to discuss various methodologies necessary for solving industrial problems in fault diagnosis/supervision and to encourage interactions between academia and industry. This workshop also focused on development and evaluation of methodologies for on-line fault detection and supervision in the chemical process industries. It addressed theory, application, validation, performance and evaluation of methodologies such as parameter estimation, observers, parity equations, signal analysis methods, classification, rule-based systems with probabilistic approaches, fuzzy logic and neural networks.

There are several trends that make the topic of this workshop especially relevant in today's world. The first is the tremendous advances made in automation and information technology that can potentially bring in an ever-increasing amount of information on to computer screens in the operating room of a plant. Avoiding problems of information overload and converting plant data to "on-line useful knowledge" is a key challenge. In some respects, one can draw parallels here to biological evolution where, over billions of years, human beings have evolved "mental models" to interpret the huge amount of information received through their senses. In the absence of the time advantage that evolution has had, we have to rely on methodologies such as those presented in this workshop to provide assistance to operators and engineers in interpreting plant information.

A second trend that makes this field relevant in today's world is the increasing emphasis on environment and safety. Community activism and accidents such as those in Bhopal, India have caused media spotlights to be turned on the smallest of toxic releases or loss of life due to chemical accidents. The negative publicity generated by such events as well as the need to maintain the image of an environmentally conscious company make industry more sensitive to the issues of early detection of faults.

The third trend that makes this field very relevant is that of the globalization of the world economy. Increasing globalization of the chemical process industry puts pressure on economic competitiveness and higher productivity. This implies reduced down-time due to faults, quick and flexible response of production to supply and demand changes, increasing reliance on automation and reduced personnel.

Read More Show Less

Product Details

  • ISBN-13: 9780080432335
  • Publisher: Elsevier Science
  • Publication date: 11/3/1998
  • Series: IFAC Proceedings Volumes Series
  • Pages: 420
  • Product dimensions: 0.86 (w) x 11.69 (h) x 8.27 (d)

Table of Contents

Section headings and selected papers: Plenary Papers. Contributions from the community IT programme (P. Corsi). Trend Analysis. Process trend analysis using wavelet-based de-noising (A. Bakhtazad et al.). Observers. Non-linear observer based method for fault detection and isolation (F. Armanet et al.). Detect unexpected changes of particle size distribution in paper-making white water systems (H. Wang). Applications. Observing the sugar-beet quality using process and signal analysing methods (A. Arenz et al.). Different Approaches. A generic fault propagation modeling approach to on-line diagnosis and event correlation (G.M. Stanley, R. Vaidhyanathan). Can chemical process industry benefit from analog electronics diagnosis methods? (P. Taillibert). Neural Networks. Fault detection in paper making (a neural network approach) (Y. Bissessur et al.). Statistics/Reconciliation. Univariate and multivariate process monitoring and improvement (A. King et al.). An industrial application of principal component test to fault detection and identification (H. Tong, D. Bluck). Qualitative. Automated interpretation of PCA-based process monitoring and fault diagnosis using signed digraphs (H. Vedam, V. Venkatasubramanian). Fault diagnosis expert system with probability calculations (D. Leung, J. Romagnoli). Supervision/Control/Alarm. Early detection of alarm situations using model predictions (B.C. Juricek et al.). Poster Papers. Suboptimal conditions for leakage detectability in pipelines (C. Verde, F. Ibinarriaga). Comparison of the performances of parametric estimation, time-frequency, wavelet and segmentation with detection of abrupt changes in non-destructive evaluation (S. Femman, N.K. M'Sirdi). New intrinsic runaway criteria and their application to the model-based on-line monitoring of continuous and discontinuous reactors (T. Obertopp et al.)
Read More Show Less

Customer Reviews

Be the first to write a review
( 0 )
Rating Distribution

5 Star

(0)

4 Star

(0)

3 Star

(0)

2 Star

(0)

1 Star

(0)

Your Rating:

Your Name: Create a Pen Name or

Barnes & Noble.com Review Rules

Our reader reviews allow you to share your comments on titles you liked, or didn't, with others. By submitting an online review, you are representing to Barnes & Noble.com that all information contained in your review is original and accurate in all respects, and that the submission of such content by you and the posting of such content by Barnes & Noble.com does not and will not violate the rights of any third party. Please follow the rules below to help ensure that your review can be posted.

Reviews by Our Customers Under the Age of 13

We highly value and respect everyone's opinion concerning the titles we offer. However, we cannot allow persons under the age of 13 to have accounts at BN.com or to post customer reviews. Please see our Terms of Use for more details.

What to exclude from your review:

Please do not write about reviews, commentary, or information posted on the product page. If you see any errors in the information on the product page, please send us an email.

Reviews should not contain any of the following:

  • - HTML tags, profanity, obscenities, vulgarities, or comments that defame anyone
  • - Time-sensitive information such as tour dates, signings, lectures, etc.
  • - Single-word reviews. Other people will read your review to discover why you liked or didn't like the title. Be descriptive.
  • - Comments focusing on the author or that may ruin the ending for others
  • - Phone numbers, addresses, URLs
  • - Pricing and availability information or alternative ordering information
  • - Advertisements or commercial solicitation

Reminder:

  • - By submitting a review, you grant to Barnes & Noble.com and its sublicensees the royalty-free, perpetual, irrevocable right and license to use the review in accordance with the Barnes & Noble.com Terms of Use.
  • - Barnes & Noble.com reserves the right not to post any review -- particularly those that do not follow the terms and conditions of these Rules. Barnes & Noble.com also reserves the right to remove any review at any time without notice.
  • - See Terms of Use for other conditions and disclaimers.
Search for Products You'd Like to Recommend

Recommend other products that relate to your review. Just search for them below and share!

Create a Pen Name

Your Pen Name is your unique identity on BN.com. It will appear on the reviews you write and other website activities. Your Pen Name cannot be edited, changed or deleted once submitted.

 
Your Pen Name can be any combination of alphanumeric characters (plus - and _), and must be at least two characters long.

Continue Anonymously

    If you find inappropriate content, please report it to Barnes & Noble
    Why is this product inappropriate?
    Comments (optional)