Assessing the risk of vibration-induced fatigue in process pipework using convolutional neural networks

Assessing the risk of vibration-induced fatigue in process pipework using convolutional neural networks

<p>This study develops convolutional neural networks (CNNs) to classify pipework vibration states in process plants, aiming to assess the risk of vibration-induced fatigue (VIF). A major challenge in VIF assessment is the need for strain measurements which, while ideal for assessing the risk o...

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Bibliographic Details
Main Author: Ahmed Mohamed (628889) (author)
Other Authors: Jamil Renno (14070771) (author), M. Shadi Mohamed (18810406) (author)
Published: 2025
Subjects:
Engineering
Manufacturing engineering
Information and computing sciences
Data management and data science
Machine learning
Vibration-induced fatigue
Risk assessment
Process pipework
Convolutional neural networks
Continuous wavelet transformation
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