An intelligent structural damage detection approach based on self-powered wireless sensor data
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- 作者：Amir H. Alavia ; alavi@msu.edu" class="auth_mail" title="E-mail the corresponding author ; ah_alavi@hotmail.com" class="auth_mail" title="E-mail the corresponding author ; Hassene Hasnia ; Nizar Lajnefa ; Karim Chattia ; Fred Faridazarb
- 关键词：Structural health monitoring ; Self-powered wireless sensor ; Damage detection ; Uncertainty analysis ; Probabilistic neural networks
- 刊名：Automation in Construction
- 出版年：2016
- 出版时间：February 2016
- 年：2016
- 卷：62
- 期：Complete
- 页码：24-44
- 全文大小：5084 K
文摘
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A new approach for structural damage detection using self-powered wireless sensors
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A data interpretation system by integrating FEM, PNN and Bayesian decision theory
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Indicator variables taking into account the effect of array of sensors
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An uncertainty analysis to for validity verification in noisy environment