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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...
Evaluation of Fire Safety
Fire safety is a major concern in many industries, particularly as there have been significant increases in recent years in the quantities of hazardous materials in process, storage or transport. Plants are becoming larger and are often situated in or close to densely populated areas, and the hazards are continually highlighted with incidents such as the fires and explosions at the Piper Alpha oil and gas platform, and the Enschede firework factory. As a result, greater attention than ever before is now being given to the evaluation and control of these hazards. In a comprehensive treatment of the subject unavailable elsewhere, this book describes in detail the applications of hazard and ris...
The AI Directory
The directory of the artificial intelligence industry.
Multivariable Predictive Control
A guide to all practical aspects of building, implementing, managing, and maintaining MPC applications in industrial plants Multivariable Predictive Control: Applications in Industry provides engineers with a thorough understanding of all practical aspects of multivariate predictive control (MPC) applications, as well as expert guidance on how to derive maximum benefit from those systems. Short on theory and long on step-by-step information, it covers everything plant process engineers and control engineers need to know about building, deploying, and managing MPC applications in their companies. MPC has more than proven itself to be one the most important tools for optimising plant operation...
