Standard sine motion video-based virtual traceability method for monocular vision low-frequency vibration...

Area of Science:

• Mechanical Engineering
• Optical Metrology
• Vibration Analysis

Background:

• Low-frequency vibration is critical in structural health monitoring, mechanical systems, and precision manufacturing.
• Monocular vision (MV) offers efficient, non-contact, and cost-effective low-frequency vibration measurement.
• Current MV methods lack unified metrological traceability and uncertainty evaluation.

Purpose of the Study:

• To present a novel virtual traceability method for evaluating the measurement performance of monocular vision for low-frequency vibration.
• To establish a traceable and reliable uncertainty evaluation framework for MV-based vibration analysis.

Main Methods:

• Developed a virtual traceability method utilizing standard sine motion videos.
• Implemented a precise position error correction model for enhanced accuracy.
• Validated the method through simulations and experimental investigations.

Main Results:

• The proposed method successfully evaluates amplitude and phase measurement accuracy for low-frequency vibration.
• Performance was confirmed within the frequency range of 0.01 to 20 Hz.
• Demonstrated the feasibility of achieving metrological traceability for MV vibration measurements.

Conclusions:

• The novel virtual traceability method provides a unified approach for evaluating MV-based low-frequency vibration measurements.
• This advancement facilitates more reliable and standardized vibration analysis in diverse engineering fields.
• The method enhances the metrological foundation of non-contact vibration measurement techniques.