Support vector machine based active damage detection method

R. Taniguchi, A. Mita

研究成果: Conference contribution

3 被引用数 (Scopus)

抄録

An active damage detection method using Support Vector Machine (SVM) is proposed. The SVM is known as a powerful pattern recognition tool that can be applied to complicated classification problems. An active sensing diagnostic technique using PZT elements was adopted to characterize damages in bolted joints. Built-in PZTs were used to predict damages by using differences of Lamb wave signals recorded before and after damages. The wavelet transform was applied for a time-frequency analysis of the Lamb waves to characterize the feature vectors for feeding to SVMs. It can correctly estimate the location and the degree of damages. Applicability of proposed damage detection method was successfully demonstrated.

本文言語English
ホスト出版物のタイトルStructural Health Monitoring 2003
ホスト出版物のサブタイトルFrom Diagnostics and Prognostics to Structural Health Management - Proceedings of the 4th International Workshop on Structural Health Monitoring, IWSHM 2003
編集者Fu-Kuo Chang
出版社DEStech Publications
ページ749-756
ページ数8
ISBN(電子版)1932078207, 9781932078206
出版ステータスPublished - 2003 1 1
イベント4th International Workshop on Structural Health Monitoring: From Diagnostics and Prognostics to Structural Health Management, IWSHM 2003 - Stanford, United States
継続期間: 2003 9 152003 9 17

出版物シリーズ

名前Structural Health Monitoring 2003: From Diagnostics and Prognostics to Structural Health Management - Proceedings of the 4th International Workshop on Structural Health Monitoring, IWSHM 2003

Other

Other4th International Workshop on Structural Health Monitoring: From Diagnostics and Prognostics to Structural Health Management, IWSHM 2003
国/地域United States
CityStanford
Period03/9/1503/9/17

ASJC Scopus subject areas

  • コンピュータ サイエンスの応用
  • 健康情報管理

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