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Intelligent Sensors for Structural Health Monitoring and Mechanical Fault Diagnosis
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The aim of this Reprint is to educate the readers on the advanced fault or defect detection and diagnosis methods of machines and structures, even including a few advanced sensing techniques. We aim to uncover cutting-edge methodologies for mechanical and structural fault detection and diagnosis, with a focus on bearing diagnosis and signal processing innovation. Key advances include adaptive signal denoising and enhancement through utilizing noise, precision sensing hardware, AI-based diagnostics and data analysis. This Reprint would provide abundant and systemic content, from precise measurement, to signal processing-based signature extraction, to AI-empowered diagnosis frameworks.
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Keywords
- defect detection
- intelligent sensors
- mechanical fault diagnosis
- signal sensing
- Structural health monitoring
Links
DOI: 10.3390/books978-3-7258-4966-6Editions