YOLOv11-LADC: A Lightweight Detection Framework for Micro–Nano Damage Precursors in Thermal Barrier Coatings

Cong Huang, Xing Peng, Feng Shi, Ci Song, Hongbing Cao, Xinjie Zhao, Hengrui Xu, Christian Mitterer · 2025

Read YOLOv11-LADC: A Lightweight Detection Framework for Micro–Nano Damage Precursors in Thermal Barrier Coatings by Cong Huang, Xing Peng, Feng Shi, Ci Song, Hongbing Cao, Xinjie Zhao, Hengrui Xu, Christian Mitterer (2025) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-12735616.txt.

Description

Cong Huang and co-authors built a light image model that spots early damage in jet engine coatings, in a 2025 paper. These coatings shield hot engine parts from extreme heat. Tiny cracks and flaws in the coating can grow into failures, so catching them early matters for flight safety. Human checks are slow, and plain models miss the smallest flaws.

Their model adds an attention block that sharpens focus on fine detail. A flexible filter part bends to match the odd shapes of early damage while keeping computing cost low. Training used a photo set grown to over five thousand images by many edits. The model beat its base version on precision and recall, and it runs lean enough for real-time checks.

Catalog record

CREATORCong Huang, Xing Peng, Feng Shi, Ci Song, Hongbing Cao, Xinjie Zhao, Hengrui Xu, Christian Mitterer
YEAR2025
COLLECTIONPAPERS
FORMATTXT
FILE SIZE45 KB
VERSION1.0
LICENSECC BY 4.0
RIGHTSCC BY
SOURCEEurope PMC

Source: https://europepmc.org/articles/PMC12735616

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