Structural Health Monitoring with Acoustic Emission Sensors
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".
Deadline for manuscript submissions: closed (31 May 2023) | Viewed by 16134
Special Issue Editors
Interests: predictive maintenance; IoT; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Interests: non-destructive evaluation; structural health monitoring; condition monitoring; machine learning; digital twins
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Acoustic emission is extensively used for evaluation of the structural integrity of critical structures and condition monitoring of machineries under actual operational conditions. Acoustic emission technology is applied widely in a range of industries for the rapid assessment of key assets with the number of applications growing with time.
The aim of this Special Issue is to compile a set of breakthrough studies concerned with innovative research and development on the wider spectrum of acoustic emission technology. Papers addressing new insights in the research, development, applications, and operational benefits of acoustic emission are welcome. Articles may include, but are not limited to the following topics:
- Research in novel acoustic emission sensors, including fiber optic acoustic emission sensors
- Research on high-temperature acoustic emission applications
- Application of acoustic emission techniques in challenging operational environments
- Novel approaches for acoustic emission data acquisition and processing
- New trends and applications of acoustic emission technology
- Case studies of the application of acoustic emission in an industrial environment
- Quantitative acoustic emission techniques that aim to accurately evaluate the level of damage accumulated by an asset being monitored
Dr. Vassilios Kappatos
Dr. Mayorkinos Papaelias
Guest Editors
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Keywords
- acoustic emission
- structural health monitoring
- condition monitoring
- sensors
- data processing
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