Advanced Sensing, Fault Diagnostics, and Structural Health Management / / Yongbo Li, Bing Li, Jinchen Ji, editors

• Pubblicazione: [Place of publication not identified] : , : MDPI - Multidisciplinary Digital Publishing Institute, , 2023
• Descrizione fisica: 1 online resource (186 pages)
• Disciplina: 624.171
• Soggetto topico: Structural health monitoring
• Persona (resp. second.): JiJinchen; LiBing; LiYongbo
• Nota di contenuto: Advanced Sensing, Fault Diagnostics, and Structural Health Management 1 -- A Robust Faster R-CNN Model with Feature Enhancement for Rust Detection of Transmission Line Fitting 5 -- A Data-Driven OBE Magnetic Interference Compensation Method 21 Damage Monitoring of Engineered Cementitious Composite Beams Reinforced with Hybrid Bars Using Piezoceramic-Based Smart Aggregates 39 -- A Comprehensive Operation Status Evaluation Method for Mining XLPE Cables 55 -- New Technique for Impact Calibration of Wide-Range Triaxial Force Transducer Using Hopkinson Bar 71 -- A New Axial Stress Measurement Method for High-Strength Short Bolts Based on Stress-Dependent Scattering Effect and Energy Attenuation Coefficient 85 -- A Crack Propagation Method for Pipelines with Interacting Corrosion and Crack Defects 105 -- An Ensemble Prognostic Method of Francis Turbine Units Using Low-Quality Data under Variable Operating Conditions 127 -- Dynamic Behavior Analysis and Stability Control of Tethered Satellite Formation Deployment 153 -- Development of a Wireless Corrosion Detection System for Steel-Framed Structures Using Pulsed Eddy Currents 167.
• Sommario/riassunto: 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.
• Titolo autorizzato: Advanced Sensing, Fault Diagnostics, and Structural Health Management
• ISBN: 3-0365-6182-X
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910647224003321
• Lo trovi qui: Univ. Federico II