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Artificial Intelligence in Process Fault Diagnosis
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 ce...
Optimal Automated Process Fault Analysis
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...
Batch Fermentation
Illustrating techniques in model development, signal processing, data reconciliation, process monitoring, quality assurance, intelligent real-time process supervision, and fault detection and diagnosis, Batch Fermentation offers valuable simulation and control strategies for batch fermentation applications in the food, pharmaceutical, and chemical industries. The book provides approaches for determining optimal reference trajectories and operating conditions; estimating final product quality; modifying, adjusting, and enhancing batch process operations; and designing integrated real-time intelligent knowledge-based systems for process monitoring and fault diagnosis.
Artificial Intelligence in Chemical Engineering
Artificial intelligence (AI) is the part of computer science concerned with designing intelligent computer systems (systems that exhibit characteristics we associate with intelligence in human behavior). This book is the first published textbook of AI in chemical engineering, and provides broad and in-depth coverage of AI programming, AI principles, expert systems, and neural networks in chemical engineering. This book introduces the computational means and methodologies that are used to enable computers to perform intelligent engineering tasks. A key goal is to move beyond the principles of AI into its applications in chemical engineering. After reading this book, a chemical engineer will h...
Handbook of Porous Media
Over the last three decades, advances in modeling flow, heat, and mass transfer through a porous medium have dramatically transformed engineering applications. Comprehensive and cohesive, Handbook of Porous Media, Second Edition presents a compilation of research related to heat and mass transfer including the development of practical applications
Directory of Graduate Research
Faculties, publications and doctoral theses in departments or divisions of chemistry, chemical engineering, biochemistry and pharmaceutical and/or medicinal chemistry at universities in the United States and Canada.
Foundations of Computer Aided Process Operations
The objectives of the conference were: to define and discuss the problems of plant operations; report on the development and application of computing and computation tools and techniques for solving these problems; and bring together leading academic and industrial representatives to promote increased future interaction and cooperation in defining and solving operations problems. The participants came from 15 different countries; approximately 40% were from academic institutions, 40% from operating companies and 20% from engineering, software and other companies serving the process industries. This diversity of backgrounds and opinions served to make the conference vital and informative and is reflected in this proceedings volume.
Computer-oriented Process Engineering
The proceedings of COPE-91 represent the continuing effort of both the scientific and industrial community to make known what is new in research and development in the increasingly important interdisciplinary field of computers in chemical engineering. The symposium focussed on the following topics: # Artificial Intelligence in Chemical Engineering # Computer Integrated Process Engineering # Reliability and Risk Assessment # Process Design under Uncertainty # Education and Training in Computer Applications The theoretical and practical aspects of the use of computers in chemical engineering covered in this book should find wide use in libraries and research facilities, and should have a direct impact in the chemical industry, particularly in production automation, utility networks and computer integrated process engineering.
