Recent advances in sensing technologies significantly improve the observability of engineering systems toward improved system controllability and reliability. Also, emerging sensing techniques integrate sensing elements with in-situ data processing to transform the sensors to be “smart.” The broad applications of smart sensing for health monitoring in engineering systems provide a large amount of data with high variety and pose a big challenge on the data processing side. The significant development of artificial intelligence (AI) provides a promising approach for effectively learning from the complex and integrated multimodal data. The main objective of this Special Issue is to bring ideas from the research community, to drive the fundamental advances in the field of smart sensing and AI-enabled data analytics for health monitoring of engineering systems. Out of 60 total submissions, 20 articles have been selected and included in this Special Issue after rigorous review, and they represent the recent findings and emerging research developments in this area.

中文翻译：

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关于用于工程系统健康监测的智能传感和人工智能数据分析的客座社论特刊

传感技术的最新进展显着提高了工程系统的可观察性，从而提高了系统的可控性和可靠性。此外，新兴的传感技术将传感元件与原位数据处理相结合，将传感器转变为“智能”。智能传感在工程系统健康监测中的广泛应用提供了海量、种类繁多的数据，对数据处理方面提出了巨大挑战。人工智能 (AI) 的重大发展为有效地从复杂和集成的多模态数据中学习提供了一种有前途的方法。本期特刊的主要目标是从研究界带来想法，推动智能传感和人工智能数据分析领域的根本性进步，用于工程系统的健康监测。在总共提交的 60 篇文章中，20 篇文章经过严格审查后被选入本特刊，它们代表了该领域的最新发现和新兴研究进展。