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INTERNATIONAL DIARY

机译:国际日记

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The 10 th European Workshop on Structural Health Monitoring (10th EWSHM) is to be held at the University of Palermo from 4 to 7 July 2022 in Palermo, Italy.The workshop represents a forum where experts from around the world can discuss the latest advancements and breakthroughs in the field of SHM and more broadly in the fields of smart materials and intelligent systems. It fosters the discussion and identification of key and emerging challenges and opportunities in research, development and field applications that are critical and unique in SHM. The 2022 workshop is also intended to promote communication exchange and cross-fertilisation between multiple engineering disciplines and beyond.Topics of special interest include: physical principles monitoring; advanced signal processing, statistical data analysis, data mining/ fusion, real-time diagnostics/prognostics, machine learning, inverse methods and big data; modelling and simulation; novel smart sensors, sensors for extreme environments, MEMS/ NEMS sensors, fibre optics, piezoelectric/ magnetoelectric sensors, nano/microsensors and wireless sensors; energy saving, harvesting and conversion; SHM system design and cyber-physical systems; smart cities and SHM for the IIoT; autonomous systems, automotive, remote sensing and remote support, robotic and UAV platforms for SHM and maintenance intervention; full-scale structural demonstrations and applications; SHM methods applied to the biomedical domain, wearable devices, implants with sensing capabilities, health monitoring devices; bio-inspired sensing, self-diagnostic networks, hardware-software integration; Industry 4.0, additive manufacturing, advanced manufacturing techniques, manufacturing with sensor data and multi-objective design optimisation; SHM in action; and validation/ certification.
机译:第10届欧洲结构健康监测研讨会(第10届EWSHM)将于意大利巴勒莫于2022年7月4日至7日在巴勒莫大学举行。该研讨会代表了一个来自世界各地专家可以讨论最新进展的论坛和Shm领域的突破,更广泛地在智能材料和智能系统领域。它促进了在SHM中关键和独特的研究,开发和现场应用中的关键和新兴挑战和机遇的讨论和确定。 2022次研讨会还旨在促进多元工程学科与超越的沟通交流和交叉施肥。特殊兴趣的特点包括:物理原则监测;先进的信号处理,统计数据分析,数据挖掘/融合,实时诊断/预测,机器学习,逆方法和大数据;建模与仿真;新型智能传感器,极端环境的传感器,MEMS / NEMS传感器,光纤,压电/磁电传感器,纳米/微传感器和无线传感器;节能,收获和转换; SHM系统设计和网络物理系统;智能城市和谢谢IIOT;用于SHM和维护干预的自治系统,汽车,遥感和远程支持,机器人和无人机平台;全规模的结构演示和应用; SHM方法应用于生物医学领域,可穿戴设备,具有传感能力的植入物,健康监测设备;生物启发传感,自诊断网络,硬件软件集成;行业4.0,添加剂制造,先进的制造技术,制造传感器数据和多目标设计优化;谢以行动;并验证/认证。

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    《Insight》 |2021年第8期|496-498|共3页
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  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《化学文摘》(CA);
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