Optimal Automated Process Fault Analysis

Optimal Automated Process Fault Analysis PDF

Author: Richard J. Fickelscherer

Publisher: John Wiley & Sons

Published: 2012-11-27

Total Pages: 218

ISBN-13: 1118481968

DOWNLOAD EBOOK →

Tested and proven strategy to develop optimal automated process fault analyzers Process fault analyzers monitor process operations in order to identify the underlying causes of operational problems. Several diagnostic strategies exist for automating process fault analysis; however, automated fault analysis is still not widely used within the processing industries due to problems of cost and performance as well as the difficulty of modeling process behavior at needed levels of detail. In response, this book presents the method of minimal evidence (MOME), a model-based diagnostic strategy that facilitates the development and implementation of optimal automated process fault analyzers. MOME was created at the University of Delaware by the researchers who developed the FALCON system, a real-time, online process fault analyzer. The authors demonstrate how MOME is used to diagnose single and multiple fault situations, determine the strategic placement of process sensors, and distribute fault analyzers within large processing systems. Optimal Automated Process Fault Analysis begins by exploring the need to automate process fault analysis. Next, the book examines: Logic of model-based reasoning as used in MOME MOME logic for performing single and multiple fault diagnoses Fuzzy logic algorithms for automating MOME Distributing process fault analyzers throughout large processing systems Virtual SPC analysis and its use in FALCONEERTM IV Process state transition logic and its use in FALCONEERTM IV The book concludes with a summary of the lessons learned by employing FALCONEERTM IV in actual process applications, including the benefits of "intelligent supervision" of process operations. With this book as their guide, readers have a powerful new tool for ensuring the safety and reliability of any chemical processing system.

Data-Driven Fault Detection and Reasoning for Industrial Monitoring

Data-Driven Fault Detection and Reasoning for Industrial Monitoring PDF

Author: Jing Wang

Publisher: Springer Nature

Published: 2022-01-03

Total Pages: 277

ISBN-13: 9811680442

DOWNLOAD EBOOK →

This open access book assesses the potential of data-driven methods in industrial process monitoring engineering. The process modeling, fault detection, classification, isolation, and reasoning are studied in detail. These methods can be used to improve the safety and reliability of industrial processes. Fault diagnosis, including fault detection and reasoning, has attracted engineers and scientists from various fields such as control, machinery, mathematics, and automation engineering. Combining the diagnosis algorithms and application cases, this book establishes a basic framework for this topic and implements various statistical analysis methods for process monitoring. This book is intended for senior undergraduate and graduate students who are interested in fault diagnosis technology, researchers investigating automation and industrial security, professional practitioners and engineers working on engineering modeling and data processing applications. This is an open access book.

Fault-Tolerant Design and Control of Automated Vehicles and Processes

Fault-Tolerant Design and Control of Automated Vehicles and Processes PDF

Author: Ralf Stetter

Publisher: Springer

Published: 2019-02-14

Total Pages: 207

ISBN-13: 3030128466

DOWNLOAD EBOOK →

This book summarizes strategies, methods, algorithms, frameworks and systems for the fault-tolerant design and control of automated vehicles and processes. Intelligent systems may be able to accommodate inevitable faults, but this ability requires targeted design processes and advanced control systems. This book explains the respective elements involved in automated vehicles and processes. It provides detailed descriptions of fault-tolerant design, not offered in the existent scientific literature. With regard to fault-tolerant control, the focus is on innovative methods, which can accommodate not only uncertainties, but also shared and flexible redundant elements. The book is intended to present a concise guide for researchers in the field of fault-tolerant design and control, and to provide concrete insights for design and control engineers working in the field of automated vehicles and processes.

Rational Fault Analysis

Rational Fault Analysis PDF

Author: Richard Saeks

Publisher: Marcel Dekker

Published: 1977

Total Pages: 264

ISBN-13:

DOWNLOAD EBOOK →

Information on the development of rational procedures for detection, location, & prediction of faults in a variety of systems. Includes a chapter on computer-aided fault analysis.

Artificial Intelligence in Process Fault Diagnosis

Artificial Intelligence in Process Fault Diagnosis PDF

Author: Richard J. Fickelscherer

Publisher: John Wiley & Sons

Published: 2024-01-23

Total Pages: 436

ISBN-13: 1119825911

DOWNLOAD EBOOK →

Artificial Intelligence in Process Fault Diagnosis A comprehensive guide to the future of process fault diagnosis Automation has revolutionized every aspect of industrial production, from the accumulation of raw materials to quality control inspections. Even process analysis itself has become subject to automated efficiencies, in the form of process fault analyzers, i.e., computer programs capable of analyzing process plant operations to identify faults, improve safety, and enhance productivity. Prohibitive cost and challenges of application have prevented widespread industry adoption of this technology, but recent advances in artificial intelligence promise to place these programs at the center of manufacturing process analysis. Artificial Intelligence in Process Fault Diagnosis brings together insights from data science and machine learning to deliver an effective introduction to these advances and their potential applications. Balancing theory and practice, it walks readers through the process of choosing an ideal diagnostic methodology and the creation of intelligent computer programs. The result promises to place readers at the forefront of this revolution in manufacturing. Artificial Intelligence in Process Fault Diagnosis readers will also find: Coverage of various AI-based diagnostic methodologies elaborated by leading experts Guidance for creating programs that can prevent catastrophic operating disasters, reduce downtime after emergency process shutdowns, and more Comprehensive overview of optimized best practices Artificial Intelligence in Process Fault Diagnosis is ideal for process control engineers, operating engineers working with processing industrial plants, and plant managers and operators throughout the various process industries.

Control Systems, Robotics and AutomatioN – Volume XVI

Control Systems, Robotics and AutomatioN – Volume XVI PDF

Author: Heinz D. Unbehauen

Publisher: EOLSS Publications

Published: 2009-10-11

Total Pages: 524

ISBN-13: 1848261551

DOWNLOAD EBOOK →

This Encyclopedia of Control Systems, Robotics, and Automation is a component of the global Encyclopedia of Life Support Systems EOLSS, which is an integrated compendium of twenty one Encyclopedias. This 22-volume set contains 240 chapters, each of size 5000-30000 words, with perspectives, applications and extensive illustrations. It is the only publication of its kind carrying state-of-the-art knowledge in the fields of Control Systems, Robotics, and Automation and is aimed, by virtue of the several applications, at the following five major target audiences: University and College Students, Educators, Professional Practitioners, Research Personnel and Policy Analysts, Managers, and Decision Makers and NGOs.

Automated Methods in Cryptographic Fault Analysis

Automated Methods in Cryptographic Fault Analysis PDF

Author: Jakub Breier

Publisher: Springer

Published: 2019-03-19

Total Pages: 334

ISBN-13: 3030113337

DOWNLOAD EBOOK →

This book presents a collection of automated methods that are useful for different aspects of fault analysis in cryptography. The first part focuses on automated analysis of symmetric cipher design specifications, software implementations, and hardware circuits. The second part provides automated deployment of countermeasures. The third part provides automated evaluation of countermeasures against fault attacks. Finally, the fourth part focuses on automating fault attack experiments. The presented methods enable software developers, circuit designers, and cryptographers to test and harden their products.

Intelligent Data Engineering and Automated Learning -- IDEAL 2012

Intelligent Data Engineering and Automated Learning -- IDEAL 2012 PDF

Author: Hujun Yin

Publisher: Springer

Published: 2012-08-01

Total Pages: 882

ISBN-13: 3642326390

DOWNLOAD EBOOK →

This book constitutes the refereed proceedings of the 13th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2012, held in Natal, Brazil, in August 2012. The 100 revised full papers presented were carefully reviewed and selected from more than 200 submissions for inclusion in the book and present the latest theoretical advances and real-world applications in computational intelligence.

Lanterna Rally - Theme by Grace Themes