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OverviewThis book presents a detailed and up-to-date exposition of fault monitoring methods in industrial processes and structures. The following approaches are explained in considerable detail: Model-based methods (simple tests, analytical redundancy, parameter estimation); knowledge-based methods; artificial neural network methods; and nondestructive testing, etc. Each approach is complemented by specific case studies from various industrial sectors (aerospace, chemical, nuclear, etc.), thus bridging theory and practice. This volume will be a valuable tool in the hands of professional and academic engineers. It can also be recommended as a supplementary postgraduate textbook. For scientists whose work involves automatic process control and supervision, statistical process control, applied statistics, quality control, computer-assisted predictive maintenance and plant monitoring, and structural reliability and safety. Full Product DetailsAuthor: A.D. Pouliezos , George S. StavrakakisPublisher: Springer Imprint: Springer Edition: Softcover reprint of hardcover 1st ed. 1994 Volume: 12 Dimensions: Width: 15.50cm , Height: 2.90cm , Length: 23.50cm Weight: 0.878kg ISBN: 9789048143740ISBN 10: 9048143748 Pages: 542 Publication Date: 04 December 2010 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Out of stock ![]() The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available. Table of Contents1 Fault Detection and Diagnosis Methods in the Absence of Process Model.- 2 Analytical Redundancy Methods.- 3 Parameter Estimation Methods for Fault Aionitoring.- 4 Autodiatic Expert Process Fault Diagnosis and Supervision.- 5 Fault Diagnosis Using Artificial Neural Networks (ANNs).- 6 In-Time Failure Prognosis and Fatigue Life Prediction of Structures.- Author index.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |