Λεπτομέρειες βιβλιογραφικής εγγραφής
| Τίτλος: |
Smart Borescope Inspection System with AI-Based Defect Detection for Aero-Engine Maintenance. |
| Συγγραφείς: |
Abishek k., as, Abhishek, Aswathi E., Jain, Kushi, Sony, Shon, Kumar, Kaushal |
| Πηγή: |
International Scientific Journal of Engineering & Management; Jun2026, Vol. 5 Issue 6, p1-5, 5p |
| Θεματικοί όροι: |
Engine maintenance & repair, Computer vision, Condition-based maintenance, Nondestructive testing, Aeronautical safety measures, Defect tracking (Computer software development), Airplane maintenance, Deep learning |
| Περίληψη: |
This Aircraft engine maintenance is a critical component of aviation safety and operational reliability. Traditional borescope inspections depend heavily on human expertise, making the process time-consuming and prone to subjective errors. This paper proposes a Smart Borescope Inspection System integrated with Artificial Intelligence (AI) and Computer Vision techniques for automated defect detection in aero-engine components. The proposed system utilizes a high-resolution borescope camera, image preprocessing techniques, and a YOLOv8-based deep learning model to identify defects such as cracks, corrosion, dents, blade burns, and foreign object damage (FOD). Experimental evaluation demonstrates improved inspection accuracy, reduced inspection time, and enhanced maintenance decision-making. The proposed framework supports predictive maintenance and contributes toward intelligent aviation maintenance systems. [ABSTRACT FROM AUTHOR] |
|
Copyright of International Scientific Journal of Engineering & Management is the property of International Scientific Journal of Engineering & Management and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Βάση Δεδομένων: |
Complementary Index |