Non-Contact Monitoring of Rotating Machinery Using Optimized Camera-Based Stroboscopic Imaging

Monitoring rotating machinery is essential for ensuring reliability and reducing maintenance costs. Cameras have recently gained attention as non-contact sensors due to their high spatial resolution and minimal interference. However, high-speed rotation introduces challenges such as motion blur, aliasing, and reliance on expensive highspeed cameras. This study proposes a camera-only stroboscopic imaging method for real-time, non-contact monitoring. By capturing frames at fixed angular intervals without external synchronization and applying optimized object tracking and phasebased optical flow (POF), the system estimates full-field, sub-pixel displacements. Phase-locked displacement data is used to identify rotor faults. Experimental validation on a lab-scale blade system confirms accurate displacement measurement and effective fault detection, offering a practical solution for aerospace, wind, and industrial applications.

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Published
2025-09-09
DOI
https://doi.org/10.12783/shm2025/37325
Primary Topic
Non-Destructive Testing Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Non-Contact Monitoring of Rotating Machinery Using Optimized Camera-Based Stroboscopic Imaging

SEUNG HWAN LEE, Yeseul Kong, Gyuhae Park, Shinkyu Jeong
Non-Destructive Testing Techniques
article

Non-Contact Monitoring of Rotating Machinery Using Optimized Camera-Based Stroboscopic Imaging

SEUNG HWAN LEE, Yeseul Kong, Gyuhae Park, Shinkyu Jeong
article en

Abstract

Monitoring rotating machinery is essential for ensuring reliability and reducing maintenance costs. Cameras have recently gained attention as non-contact sensors due to their high spatial resolution and minimal interference. However, high-speed rotation introduces challenges such as motion blur, aliasing, and reliance on expensive highspeed cameras. This study proposes a camera-only stroboscopic imaging method for real-time, non-contact monitoring. By capturing frames at fixed angular intervals without external synchronization and applying optimized object tracking and phasebased optical flow (POF), the system estimates full-field, sub-pixel displacements. Phase-locked displacement data is used to identify rotor faults. Experimental validation on a lab-scale blade system confirms accurate displacement measurement and effective fault detection, offering a practical solution for aerospace, wind, and industrial applications.

Chonnam National University (KR)
Ministry of Agriculture, Food and Rural Affairs, Korea Evaluation Institute of Industrial Technology, Korea Institute of Planning and Evaluation for Technology in Food, Agriculture and Forestry
Openalex Percentile: Top 70%
Non-Destructive Testing Techniques
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