Multi-information fusion welding defect identification combining neighborhood rough set and optimized SVM

Multi-information fusion welding defect identification combining neighborhood rough set and optimized SVM

A multi-information fusion welding defect recognition method is proposed by combining NRS with optimized SVM to address the “big data” generated during the multi-sensor information fusion welding process. A fast reduction algorithm based on NRS was constructed using feature importance as inspiration...

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Bibliographic Details
Main Authors: Zhiqiang FENG, Xianping ZENG, Naiwen FANG, Daidi ZHAO, Quan LI, Jiutian LUO, Xin LI
Format: Article
Language:zho
Published: Editorial Office of Transactions of the China Welding Institution, Welding Journals Publishing House 2025-05-01
Series:Hanjie xuebao
Subjects:
neighborhood rough set
welding defect identification
support vector machine
multi-information fusion
dingo optimization algorithm
Online Access:https://doi.org/10.12073/j.hjxb.20240712001
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https://doi.org/10.12073/j.hjxb.20240712001

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