Design of an advanced automatic inspection system for aircraft parts based on fluorescent penetrant inspection analysis
Разработка усовершенствованной автоматической системы контроля деталей воздушных судов на основе анализа результатов люминесцентного контроля проникающими жидкостями
2015-01-01
SCID: 54.1/88aduc5f
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aircraft partsautomatic inspection systemfluorescent penetrant inspectionimage processingpattern recognition
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Abstract (AI)
Non-destructive testing (NDT) of aircraft parts has become increasingly important in improving the safety and reliability of the aerospace industry, especially in the testing of high-temperature and high-pressure turbine engine parts. Among the various types of NDT methods available, fluorescent penetrant inspection (FPI) is comparably more cost-efficient and is widely used in NDT on aircraft parts. However, current FPI still requires considerable labour forces in its processing, inspection and analysis procedures. In this paper, we have developed an advanced automatic inspection system (AAIS) that uses image processing and pattern recognition techniques to aid human inspectors. The system can automatically detect, measure and classify discontinuities from the FPI images of aircraft parts. Tests have been performed on the sample images provided by our industrial partners to evaluate our developed AAIS. The test results demonstrate that the developed system has significantly improved the efficiency of FPI with satisfactory accuracy.
Key Findings
1
An advanced automatic inspection system was developed to support fluorescent penetrant inspection of aircraft parts.
2
Evaluation using sample images from industrial partners showed significantly improved FPI efficiency with satisfactory accuracy.
3
The system applies image processing and pattern recognition to automatically detect, measure, and classify discontinuities in FPI images.
4
The system is intended to reduce substantial labor requirements in FPI processing, inspection, and analysis.
Research Object
Fluorescent penetrant inspection of aircraft parts, particularly high-temperature and high-pressure turbine engine parts
Research Subject
Automated detection, measurement, and classification of discontinuities in FPI images to improve inspection efficiency and accuracy
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2015-01-01
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