Data-driven Methods for Fault Detection and Diagnosis in Chemical Processes
Data-driven Methods for Fault Detection and Diagnosis in Chemical Processes

Author: Evan L. Russell

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 193

ISBN-13: 1447104099

DOWNLOAD EBOOK

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.

From Plant Data to Process Control
From Plant Data to Process Control

Author: Liuping Wang

Publisher: CRC Press

Published: 2000-08-31

Total Pages: 250

ISBN-13: 9780748407019

DOWNLOAD EBOOK

Process engineering spans industrial applications in the manufacturing sector from petrochemical to polymer to mineral production. From Plant Data to Process Control covers the most up-to-date techniques and algorithms in the area of process identification (PID) and process control, two key components of process engineering, essential for optimizing production systems. It examines both the theoretical advances in process design and control theory, and a wide variety of implementations. A wide variety of approaches are presented for building models of dynamical systems based on observed data (process identification) and for making the output of a system behave in a desired fashion by properly selecting the process input (process control).

Data Processing and Reconciliation for Chemical Process Operations
Data Processing and Reconciliation for Chemical Process Operations

Author: José A. Romagnoli

Publisher: Elsevier

Published: 1999-10-25

Total Pages: 288

ISBN-13: 0080530273

DOWNLOAD EBOOK

Computer techniques have made online measurements available at every sampling period in a chemical process. However, measurement errors are introduced that require suitable techniques for data reconciliation and improvements in accuracy. Reconciliation of process data and reliable monitoring are essential to decisions about possible system modifications (optimization and control procedures), analysis of equipment performance, design of the monitoring system itself, and general management planning. While the reconciliation of the process data has been studied for more than 20 years, there is no single source providing a unified approach to the area with instructions on implementation. Data Processing and Reconciliation for Chemical Process Operations is that source. Competitiveness on the world market as well as increasingly stringent environmental and product safety regulations have increased the need for the chemical industry to introduce such fast and low cost improvements in process operations. - Introduces the first unified approach to this important field - Bridges theory and practice through numerous worked examples and industrial case studies - Provides a highly readable account of all aspects of data classification and reconciliation - Presents the reader with material, problems, and directions for further study

Impact of Advances in Computing and Communications Technologies on Chemical Science and Technology
Impact of Advances in Computing and Communications Technologies on Chemical Science and Technology

Author: National Research Council

Publisher: National Academies Press

Published: 1999-08-31

Total Pages: 235

ISBN-13: 0309184029

DOWNLOAD EBOOK

The Chemical Sciences Roundtable provides a forum for discussing chemically related issues affecting government, industry and government. The goal is to strengthen the chemical sciences by foster communication among all the important stakeholders. At a recent Roundtable meeting, information technology was identified as an issue of increasing importance to all sectors of the chemical enterprise. This book is the result of a workshop convened to explore this topic.

The Efficient Use of Quality Control Data
The Efficient Use of Quality Control Data

Author: Kenneth Walter Kemp

Publisher: Oxford University Press

Published: 2001

Total Pages: 282

ISBN-13: 9780198536741

DOWNLOAD EBOOK

Accurate measurements in clinical and industrial testing are often not possible. Each measurement contains what can be regarded as containing an uncontrollable component of error. Their use to control quality therefore inevitably leads to right and wrong conclusions. This book describesmethods which can be used to control the frequency with which these occur. It describes recent developments which can be employed when very few control measurements can be taken due to limitations of cost or technical difficulty. The monograph begins by describing simple statistical decision ruleswhich were initially used to control the quality of industrial processes. These then form a basis on which to describe the concepts and practical consequences of the use of statistical quality control. Thereafter it proceeds to illustrate improvements in the property of decision rules which can beachieved with appropriate choices of control rule parameters, test statistics and methods of control which selectively utilise information contained in the test data which is indicating that a change in quality level has occurred.