Corrosion monitoring using a new compressed sensing-based tomographic method

Area of Science:

• Aerospace Engineering
• Materials Science
• Signal Processing

Background:

• Aircraft structural integrity is critical for flight safety.
• Corrosion poses a significant threat to aircraft structures.
• Existing monitoring methods like Lamb Wave Tomography (LWT) often require dense sensor arrays, limiting practical application.

Purpose of the Study:

• To develop an optimized aircraft structural corrosion monitoring technique.
• To overcome the sensor density limitations of conventional LWT.
• To improve the efficiency and applicability of internal structure inspection.

Main Methods:

• Application of compressed sensing (CS) principles to Lamb Wave Tomography (LWT).
• Development of a novel CS-based tomographic method for internal structure mapping.
• Experimental validation using real aircraft corrosion damage.

Main Results:

• The CS-based tomographic method requires significantly fewer sensors compared to conventional LWT.
• The proposed method maintains high imaging quality for detecting corrosion damage.
• Experimental results confirm the effectiveness and advantages of the CS-based approach.

Conclusions:

• The CS-based tomographic method offers a more practical and efficient solution for aircraft structural corrosion monitoring.
• This technique enhances the ability to detect internal damage, improving flight safety.
• The study demonstrates the potential of CS in optimizing structural health monitoring.