Engineering Research
Materials Science
Engineering Series
Smart Diagnostics V
Description:
The aim of the special collection was to bring together the expertise of scientist and engineers from universities and industry in the field of Structural Health Monitoring, Non‐Destructive Evaluation, and Condition Monitoring. The study of damage detection, localization and assessment are important in the rapidly growing field of SHM. Due to interdisciplinary character of SHM systems, the contributions come from experts from area of mechanics, materials engineering, electronics, software engineering, and signal processing as well as system users from civil engineering, aviation, power plants, wind turbines, chemical plants, petrochemical plants and railways sectors. A significant part is dedicated to utilization of advanced measurement techniques, signal processing, and computation methods.
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Review from Ringgold Inc., ProtoView:
Scientists and engineers from academia, government, and business explore diagnostics in structural health monitoring, non-destructing evaluation, condition monitoring, and other applications. The 40 papers include discussions of such topics as detecting damage in riveted aircraft elements based on electromechanical impedance measurements, an example of diagnostic inference based on uncertain and partly inconsistent data with application of the approximate statement network, the local interaction simulation approach versus finite element modeling for detecting faults in a medical ultrasonic transducer, simulation and laboratory studies on the influence of selected engineering and operational parameters of gear transmission vibroactivity, and theoretical and experimental investigations of oil-free bearings and their application in the diagnostics of high-speed turbomachinery.