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Related Experiment Video

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Data Acquisition Protocol for Determining Embedded Sensitivity Functions

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A Machine Vision Method for Identifying Blade Tip Clearance in Wind Turbines.

Le Zhang¹, Jiadan Wei²

¹Wuxi Key Laboratory of Intelligent Robot and Special Equipment Technology, Wuxi Taihu University, Wuxi 214064, China.

Sensors (Basel, Switzerland)

|September 28, 2024

Summary

This study presents a machine vision system for real-time wind turbine blade tip clearance measurement. The method enhances operational safety by enabling precise pitch control strategies.

Keywords:

blade tip clearance fast Fourier machine vision real-time trajectory transform analysis wind turbine

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Area of Science:

Renewable Energy Engineering
Machine Vision Systems
Aerodynamics

Background:

Wind turbine operational safety is critical.
Blade tip clearance is a key parameter for safe operation.
Accurate real-time monitoring of blade tip clearance is challenging.

Purpose of the Study:

To introduce a novel machine vision method for real-time blade tip clearance measurement in wind turbines.
To enhance wind turbine operational safety through improved monitoring and control.
To validate the effectiveness of the proposed method on a 2.0 MW wind turbine.

Main Methods:

Utilizing an industrial personal computer (IPC) and a digital camera for continuous video data acquisition.
Employing the open-source computer vision (OpenCV) library for real-time blade trajectory determination.
Applying fast Fourier transform (FFT) analysis to identify blade operating frequency and amplitude for clearance calculation.

Main Results:

The machine vision method accurately calculates real-time blade tip clearance.
Experimental validation on a 2.0 MW wind turbine confirms the method's effectiveness.
Video sampling rate and communication speed meet the requirements for blade pitch control.

Conclusions:

The proposed machine vision method provides an effective solution for real-time blade tip clearance monitoring.
This technology enhances wind turbine operational safety by enabling proactive pitch control.
The system's performance meets the demands for advanced wind turbine control applications.