Proceedings ArticleDOI
Pattern Recognition for damage detection in aerospace vehicle structures
Sanjay Goswami,Partha Bhattacharya +1 more
- pp 178-182
TLDR
A Pattern Recognition based damage detection scheme for aerospace vehicle structures is proposed, and encouraging results are found in classifying single damages in the structure, however success rates dropped in case of identifying multiple damages for the same structural form.Abstract:
A Pattern Recognition based damage detection scheme for aerospace vehicle structures is proposed. It involves capturing mechanical vibration signals from plate like structures using displacement sensors; removal of noise and extraction of features using Wavelet Transform based signal processing techniques, and training a Neural Network Ensemble to classify and identify the damages that appear in the structure. A few cases are studied. Encouraging results are found in classifying single damages in the structure. However success rates dropped in case of identifying multiple damages for the same structural form. A sensor placement strategy is then drawn out that improved the results significantly.read more
Citations
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Journal ArticleDOI
Emerging artificial intelligence methods in structural engineering
Hadi Salehi,Rigoberto Burgueño +1 more
TL;DR: Techniques concerning applications of the noted AI methods in structural engineering developed over the last decade are summarized.
Real-Time Damage Detection in Laminated Composite Beams Using Dynamic Strain Response and Modular Neural Arrays for Aerospace Applications
TL;DR: In this paper, a numerical model of the beam is developed using Finite Element Method (FEM) to simulate damages in the structure, and also mechanical vibrations, actuated at one end of it.
Proceedings ArticleDOI
Automatic Vehicle Damage Detection Classification framework using Fast and Mask Deep learning
Dasari Anantha Reddy,Saroj A Shambharkar,Kandimalla Jyothsna,V. Manoj Kumar,Chandrashekhar N Bhoyar,Rachna Somkunwar +5 more
TL;DR: In this article , a deep learning-based vehicle damage assessment algorithm is proposed to determine the actual damage position in a vehicle, degree, and type of damage from the various images received from the guilty user or from any person which will help them to provide a suitable maintenance amount,the calculation done by the insurance company.
Proceedings ArticleDOI
Automatic Vehicle Damage Detection Classification framework using Fast and Mask Deep learning
TL;DR: In this paper , a deep learning-based vehicle damage assessment algorithm is proposed to determine the actual damage position in a vehicle, degree, and type of damage from the various images received from the guilty user or from any person which will help them to provide a suitable maintenance amount,the calculation done by the insurance company.
References
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Wei Fan,Pizhong Qiao +1 more
TL;DR: A comprehensive review on modal parameter-based damage identification methods for beam- or plate-type structures is presented in this paper, and the damage identification algorithms in terms of signal processing are discussed.
Journal ArticleDOI
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E. Peter Carden,Paul Fanning +1 more
TL;DR: In this article, the state of the art in vibration-based condition monitoring with particular emphasis on structural engineering applications is reviewed, focusing on the use of in situ non-destructive sensing and analysis of system characteristics for detecting changes, which may indicate damage or degradation.
Journal ArticleDOI
Review of guided-wave structural health monitoring
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