Intelligent Sensors for Structural Health Monitoring and Mechanical Fault Diagnosis

<p><span style=color: rgba(23 43 77 1)>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.</span></p>