State-of-the-Art Structural Health Monitoring Application
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Civil Engineering".
Deadline for manuscript submissions: 20 May 2025 | Viewed by 93
Special Issue Editors
Interests: signal processing; machine learning; structural health monitoring; electronics systems; intelligent systems
Special Issues, Collections and Topics in MDPI journals
Interests: structural health monitoring; FRP composite materials; finite element analysis (FEA); crashworthiness; structural behavior
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The recent advancements in structural health monitoring (SHM) systems have significantly enhanced the capability to continuously monitor diverse types of structures (differing in shape and material) and detect, identify, and localise anomalies, aiming to estimate the remaining useful life (RUL) of these structures. This progress is crucial for preventing accidents and reducing maintenance costs. For this purpose, new technologies in sensing allied to AI/machine learning algorithms, alongside IoT technologies, play a pivotal role in the development of net real-time SHM systems. These innovations have expanded the practicality and efficiency of SHM, making it more accurate and versatile across a range of applications, including wind turbines, rotor systems, aircraft, bridges, and buildings.
This Special Issue will explore emerging trends, novel methodologies, and cutting-edge technologies that are reshaping the SHM landscape, including, but not limited to, the following:
- Advanced sensing technologies;
- Data processing and analytics;
- Non-destructive testing (NDT) methods;
- Digital twins and IoT integration.
Dr. Mario De Oliveira
Dr. Donato Perfetto
Dr. Jozue Vieira Filho
Guest Editors
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Keywords
- structural health monitoring (SHM)
- AI/machine learning
- sensing technology
- real-time SHM systems
- embedded systems for SHM
- digital twins
- rotor systems
- EOV/wind turbine
- remaining useful life methods
- IoT solutions for SHM
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