Ultrasonic Signal Processing Method for Dynamic Burning Rate Measurement Based on Improved Wavelet Thresholding and...

Area of Science:

• Aerospace Engineering
• Materials Science
• Signal Processing

Background:

• Ultrasonic measurement is vital for solid rocket fuel burning rate analysis.
• Complex motor structures cause noise and signal attenuation, hindering accuracy.
• Existing methods struggle with low signal-to-noise ratio (SNR) conditions.

Purpose of the Study:

• To develop an effective ultrasonic signal denoising and echo localization method for solid rocket fuel burning rate measurement.
• To enhance measurement accuracy in challenging, noisy environments.
• To validate the proposed method through simulations and experiments.

Main Methods:

• Adaptive thresholding combined with wavelet threshold function for signal denoising.
• Extreme value feature fitting algorithm for accurate echo signal localization.
• Numerical simulations, hardware-in-the-loop tests, and fuel-burning experiments for validation.

Main Results:

• Achieved 10 dB SNR improvement in simulations at -20 dB SNR.
• Demonstrated echo localization error below 1 μs across 12 SNR levels.
• Verified high precision with maximum displacement error of 0.74 mm and fuel thickness error of 0.12 mm.

Conclusions:

• The proposed method significantly improves ultrasonic signal quality and localization accuracy for solid rocket fuel burning rate measurements.
• It effectively addresses noise and attenuation issues in complex environments.
• The validated technique offers a reliable solution for precise real-world applications.