Advanced Sensing, Fault Diagnostics, and Structural Health Management

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https://mdpi.com/books/pdfview/book/6609Contributor(s)
Li, Yongbo (editor)
Li, Bing (editor)
Ji, Jinchen (editor)
Kalhori, Hamed (editor)
Language
EnglishAbstract
Advanced sensing, fault diagnosis, and structural health management are important parts of the maintenance strategy of modern industries. With the advancement of science and technology, modern structural and mechanical systems are becoming more and more complex. Due to the continuous nature of operation and utilization, modern systems are heavily susceptible to faults. Hence, the operational reliability and safety of the systems can be greatly enhanced by using the multifaced strategy of designing novel sensing technologies and advanced intelligent algorithms and constructing modern data acquisition systems and structural health monitoring techniques. As a result, this research domain has been receiving a significant amount of attention from researchers in recent years. Furthermore, the research findings have been successfully applied in a wide range of fields such as aerospace, manufacturing, transportation and processes.
Keywords
structural health monitoring; wireless sensor network; steel-framed construction; corrosion; pulsed eddy current; tethered satellite formation; dynamic behavior; control; stable deployment; Floquet theory; Francis turbine unit; prognostic; performance state evaluation; degradation trend prediction; DBSCAN; Gaussian mixture model; NSGA-II; Gaussian process regression; pipeline; fatigue crack; stress intensity factor; finite element; XGBoost; bolt axial stress; acoustoelastic effect; scattering attenuation; stress-dependent attenuation coefficient; sensitive frequency band; triaxial force transducer; wide-range; dynamic calibration; Hopkinson bar; sensitivity matrix; status evaluation; mining XLPE cables; membership cloud; D-S evidence theory; PZT; smart aggregate; ECC beam; damage monitoring; aeromagnetic survey; OBE interference compensation; LSTM network; rust detection; transmission lines fitting; object recognition; faster R-CNN; transmission safety; n/aWebshop link
https://mdpi.com/books/pdfview ...ISBN
9783036561813, 9783036561820Publisher website
www.mdpi.com/booksPublication date and place
Basel, 2023Classification
Technology: general issues
History of engineering & technology