Browsing by Author "Nashed, M.S."
Now showing items 1-3 of 3
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Fatigue-Life-Prediction-by-Means-of-Nonconstant-Variance-Probabilistic-Neural-Network
Nashed, Mohamad Shadi; Renno, Jamil; Mohamed, M. Shadi (2022 , Dataset)The modelling of fatigue using machine learning (ML) has been gaining traction in the engineering community. Among ML techniques, the use of probabilistic neural networks (PNNs) has recently emerged as a candidate for ... -
Gas turbine failure classification using acoustic emissions with wavelet analysis and deep learning
Nashed, M.S.; Renno, J.; Mohamed, M.S.; Reuben, R.L. ( Elsevier , 2023 , Article)Compared to vibration monitoring, acoustic emission (AE) monitoring in gas turbines is highly sensitive to changes that do not involve whole-body motion, such as wear, rubbing, and fluid-induced faults. AE signals captured ... -
Nonlinear analysis of shell structures using image processing and machine learning
Nashed, M.S.; Renno, J.; Mohamed, M.S. ( Elsevier , 2023 , Article)In this paper, we propose a novel approach to solve nonlinear stress analysis problems in shell structures using an image processing technique. In general, such problems in design optimisation or virtual reality applications ...



