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Editorial
International Journal of Distributed Sensor Networks ( IF 1.9 ) Pub Date : 2020-09-01 , DOI: 10.1177/1550147720963270
Francesc Pozo 1 , Diego A Tibaduiza 2 , Miguel Ángel Torres-Arredondo 3 , Margarita Varón 2 , Hernán Dario Ceron-Muñoz 4
Affiliation  

Structural health monitoring (SHM) is a wide area of engineering that focuses on the verification of the state or health of structures in order to ensure proper performance using nondestructive tests, involving sensors permanently attached to the structure, how these sensors are distributed and computational algorithms. When a structure needs to be inspected, a SHM system is able to improve the quality of the analysis adding several advantages or benefits. Among these advantages are knowledge about the structural behavior under different loads and different environmental changes, as well as knowledge on the current state in order to verify the integrity of the structure and determine whether a structure is able to perform properly or whether it needs maintenance or replacing (with the corresponding maintenance cost saving). In the same way, condition monitoring is a related area that allows the application of algorithms to evaluate and monitor parameters in machinery which are working together with the structures. Both research areas consider the use of sensors installed in the system to monitor and develop datadriven and data fusion algorithms to evaluate the condition of the structures and the machinery.

中文翻译:

社论

结构健康监测 (SHM) 是一个广泛的工程领域,专注于验证结构的状态或健康状况,以确保使用无损测试的正确性能,涉及永久连接到结构的传感器、这些传感器的分布方式和计算算法. 当需要检查结构时,SHM 系统能够提高分析质量,增加一些优势或好处。这些优势包括了解不同载荷和不同环境变化下的结构行为,以及了解当前状态以验证结构的完整性并确定结构是否能够正常运行或是否需要维护或维护。更换(节省相应的维护成本)。以同样的方式,状态监测是一个相关领域,它允许应用算法来评估和监测与结构一起工作的机械参数。这两个研究领域都考虑使用安装在系统中的传感器来监控和开发数据驱动和数据融合算法,以评估结构和机械的状况。
更新日期:2020-09-01
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