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Special Issue "Smart Sensors and Physics-Based Machine Learning for Structural Health Monitoring II"
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".
Deadline for manuscript submissions: closed (27 January 2023) | Viewed by 2831
Special Issue Editor
Interests: multifunctional composite materials; multi-physics modeling; structural health monitoring; vibration-based testing; structural dynamics; structural damage identification
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Recent advances in smart sensor systems and artificial intelligence (AI) have opened vast possibilities for the development of disruptive innovations in the field of structural health monitoring (SHM). In their broadest sense, smart sensors are designed to mitigate operating and efficiency limitations related to traditional monitoring solutions. These may range from sensors incorporating on-board microprocessing and state interrogation to sparse and dense sensor networks capable of detecting local and global pathologies, and novel composite materials with self-diagnostic properties. In addition, the increasingly frequent implementation of AI algorithms in the realm of SHM is enabling unprecedented possibilities to link monitoring signals to decision making. Particularly promising are physics-based AI applications, enabling the injection of engineering knowledge and expertise into decision-making processes. In this light, the aim of this Special Issue is to generate discussion on the latest advances in research on smart sensing technologies and physics-based AI for SHM. Topics of interest include but are not limited to:
- Novel sensors and transducers;
- Intelligent signal processing;
- Smart sparse and dense sensor networks;
- Integrated systems;
- Multifunctional materials for sensing applications;
- Data fusion;
- Data mining;
- Supervised/unsupervised machine learning;
- Surrogate modeling for automated damage identification;
- Long-term big data processing and management;
- Internet of Things for structural health monitoring.
For the original issue, please find here: https://www.mdpi.com/journal/sensors/special_issues/ML_Structural_Health_Monitoring
Dr. Enrique García Macías
Manuscript Submission Information
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