Artificial Intelligence and Sensing Technologies for Structural Health Monitoring Systems
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Industrial Electronics".
Deadline for manuscript submissions: closed (15 April 2024) | Viewed by 441
Special Issue Editor
Interests: generative AI; explainable AI; optimization; automated machine learning; sensor data analysis; structural health monitoring; crack assessment; interface mechanics; strain transfer; optical frequency domain reflectometry (OFDR); distributed fiber optic sensor
Special Issue Information
Dear Colleagues,
Structural Health Monitoring (SHM) has become critical for the long-term safety and maintenance of infrastructural and mechanical systems, spanning from intricate aerospace components to civil structures such as buildings, dams, and bridges. Traditional monitoring paradigms have long been constrained by manual inspections, which are not only expensive and labor-intensive but also susceptible to human error and limitations in data fidelity. The integration of Artificial Intelligence (AI) and cutting-edge sensing technologies offers a unique opportunity to radically innovate SHM approaches. These advancements facilitate a paradigm shift from reactive, manual-based interventions to proactive, automated monitoring and predictive maintenance. Leveraging AI and state-of-the-art sensors can unlock unparalleled data granularity and analytical rigor, and thus, significantly enhance our capacity to preempt structural failures, optimize maintenance schedules, and ultimately ensure public safety and asset longevity.
The aim of this Special Issue is to explore the frontiers of integrating AI and advanced sensing technologies into Structural Health Monitoring (SHM). By bringing together contributions from experts in the fields of AI, sensing technologies, and structural engineering, we aim to present a comprehensive view of the current challenges and solutions in modern SHM systems.
In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:
- AI-enabled and adaptive sensor data analysis;
- Reinforcement learning for predictive maintenance;
- Blockchain for data integrity;
- Real-time structural digital twins and the Internet of Things (IoT);
- Robotics in structural inspection;
- Biometric and behavioral monitoring in structures;
- Bio-inspired sensing;
- Metamaterial sensing;
- Distributed fiber optic sensing;
- Image sensing;
- Remote sensing with satellite technologies;
- Damage detection, classification, and localization;
- Crack monitoring;
- Optimal sensor placement;
- Cyber-physical security;
- Edge computing;
- Augmented reality;
- Generative adversarial networks (GANs);
- Sensor data fusion;
- Explainable AI;
- Natural language processing.
Dr. Soroush Mahjoubi
Guest Editor
Manuscript Submission Information
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Keywords
- structural health monitoring
- artificial intelligence
- sensing technologies
- predictive maintenance
- damage detection
- Internet of Things
- augmented reality
- data integrity
- edge computing
- data fusion
