An energy-based sparse representation of ultrasonic guided-waves for online damage detection of pipelines under varying environmental and operational conditions
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- 作者：Matineh Eybpoosh ; matineh@cmu.edu" class="auth_mail" title="E-mail the corresponding author ; matinehebs@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Mario Berges ; Hae Young Noh
- 关键词：Structural health monitoring ; Pipeline monitoring ; Ultrasonic guided-waves ; Damage detection ; Sparse representation ; Online monitoring
- 刊名：Mechanical Systems and Signal Processing
- 出版年：2017
- 出版时间：1 January 2017
- 年：2017
- 卷：82
- 期：Complete
- 页码：260-278
- 全文大小：3230 K
文摘
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Proposed an unsupervised feature-extraction method for online pipe damage detection.
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The method simplifies diffuse-field guided-waves into a sparse subset.
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The method does not rely on prior damage, operation, or wave propagation knowledge.
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Validated for Temperature, flow rate, inner pressure, and damage type variations.
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