MUSIC Corrosion Monitoring via Dual Array Beam Forming
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Solution Overview
Problem
Current MUSIC algorithm for corrosive damage monitoring in aircrafts faces low positioning precision due to weak scattering signals with low signal-to-noise ratios and has monitoring blind zones, especially near 0° and 180°, and cannot estimate the degree of corrosive damage effectively.
Innovation Solution
The method employs excitation beam forming and weighted image fusing to enhance scattering signals, eliminate blind zones, and improve positioning and depth evaluation of corrosive damage by using dual one-dimensional uniform linear arrays to collect and process Lamb wave signals, including reference and monitoring signals, and calculating a corrosion factor for depth estimation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a one-dimensional uniform linear array is used to receive Lamb waves in the MUSIC damage positioning method, then the device complexity is reduced, but monitoring blind zones appear in ranges near 0° and 180°
Solution Approach 1:
The patent divides the monitoring task into multiple segments by using two separate one-dimensional uniform linear arrays (Array A and Array B) positioned at different locations. Each array independently monitors a specific angular range, with Array A covering -90° to 90° and Array B covering 90° to 270°. This segmentation eliminates the blind zones that would exist if a single array were used, while maintaining the simplicity of one-dimensional array configurations.
2Device complexity
If the MUSIC algorithm is used with a one-dimensional uniform linear array, then the device complexity is simplified, but positioning precision deteriorates due to monitoring blind zones
Solution Approach 1:
The patent merges the monitoring results from two separate one-dimensional uniform linear arrays to achieve comprehensive coverage. By combining the data from Array A and Array B, the system eliminates blind zones and improves positioning precision without requiring complex two-dimensional arrays. The fusion of results from multiple simple arrays achieves the performance of a complex array system.
3Area of stationary object
If active Lamb waves are used to detect corrosive damage, then the monitoring range is extended, but positioning precision deteriorates due to weak scattering signals with low signal-to-noise ratios
Solution Approach 1:
The patent applies preliminary signal processing actions to enhance the weak scattering signals before they are used for positioning. By preprocessing the signals from the two arrays and combining them optimally, the system enhances the signal-to-noise ratio of the scattering signals from corrosive damage. This preliminary enhancement allows the use of active Lamb waves for long-range monitoring while maintaining positioning precision.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enhances the precision of corrosive damage positioning, expands the monitoring range, and allows for accurate depth evaluation of corrosive damage, making it suitable for practical aviation structure monitoring.
Implementation Method 1
driving arrays A and S in turn to excite Lamb waves
Implementation Method 2
the Lamb wave can be propagated for a long distance and is sensitive to small damage
Data Source
AI summary
The present invention discloses a Multiple Signal Classification (MUSIC) corrosion monitoring method via excitation beam forming and weighted image fusing. Because damage-related scattering signals are weak and precision of the MUSIC algorithm is affected, the present invention first introduces excitation beam forming and two arrays into the MUSIC method, to enhance scattering signals of corrosive damage and improve their signal-to-noise ratios. Then, the two arrays serve as an excitation array or a sensor array in turn, by assigning weight to fused corrosive damage images of the two arrays, monitoring of corrosive damage in blind zones of the one-dimensional linear arrays is realized. Finally, factors related to the corrosive damage are calculated based on eigenvalues of covariance matrixes of array signals, to determine the depth of the corrosive damage. The present invention improves the positioning precision in the MUSIC corrosion monitoring, widens a monitoring range of the conventional one-dimensional linear array, and realizes evaluation of the depth of the corrosive damage, thus has wide application prospects in actual monitoring of corrosive damage in an aviation structure.