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A new method to predict crack initiation location of fretting fatigue
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Extracting damage features from vibrational response in a cracked simple beam using convolutional neural networks
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A deep neural network approach combined with Findley parameter to predict fretting fatigue crack initiation lifetime
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A prediction method of crack initiation lifetime in fretting fatigue
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An optimized hybrid metaheuristic algorithm is employed for the development of efficient artificial neural networks used for damage detection in laminated composite structures
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Quantification of two separate cracks by retrieval of relevant features from vibrational data using a deep 1D CNN network
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Metamodel-assisted hybrid optimization strategy for model updating using vibration response data
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A new methodology to predict the sequence of GFRP layers using machine learning and JAYA algorithm
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A deep learning approach to predict fretting fatigue crack initiation location
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- Journal Article
- A1
- open access
Enhanced ANN predictive model for composite pipes subjected to low-velocity impact loads