首页> 外国专利> SYSTEM AND METHOD FOR THE FAILURE MECHANISM DETECTION OF HYBRID COMPOSITE STRUCTURES BASED ON ACOUSTIC EMISSION SENSORS AND ARTIFICIAL INTELLIGENCE ALGORITHMS

SYSTEM AND METHOD FOR THE FAILURE MECHANISM DETECTION OF HYBRID COMPOSITE STRUCTURES BASED ON ACOUSTIC EMISSION SENSORS AND ARTIFICIAL INTELLIGENCE ALGORITHMS

机译:基于声发射传感器和人工智能算法的混合复合材料结构失效机理检测系统和方法

摘要

Disclosed are a system for detecting a breakage mechanism of a hybrid composite structure based on an acoustic emission sensor and an artificial intelligence algorithm, and a method therefor. A breakage mechanism detection method of a hybrid composite material structure performed by a breakage mechanism detection system according to an embodiment includes: detecting signal information emitted from the hybrid composite material structure; performing clustering according to the identified breakage mechanism using the detected signal information; inputting new signal information into the learned learning model to classify the breakage mechanism using the signal information of the cluster generated by performing the clustering; and detecting a breakage mechanism of the hybrid composite material structure from the new signal information using the learned deep learning-based learning model.
机译:本发明公开了一种基于声发射传感器和人工智能算法的混合复合材料结构破损机制检测系统及其方法。一种由根据实施例的破损机制检测系统执行的混杂复合材料结构的破损机制检测方法,包括:检测从混杂复合材料结构发出的信号信息;使用检测到的信号信息,根据识别出的破损机制执行聚类;将新的信号信息输入到学习的学习模型中,以使用通过执行聚类生成的簇的信号信息来分类破损机制;以及使用学习的基于深度学习的学习模型从新的信号信息中检测混杂复合材料结构的破坏机制。

著录项

  • 公开/公告号KR102402966B1

    专利类型

  • 公开/公告日2022-05-27

    原文格式PDF

  • 申请/专利权人

    申请/专利号KR1020200078357

  • 发明设计人 김태원;최완규;우성충;원종익;

    申请日2020-06-26

  • 分类号G01N29/44;G01N29/46;

  • 国家 KR

  • 入库时间 2022-08-25 01:16:54

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