Browsing by Author "Mohamed, M. Shadi"
Now showing items 1-7 of 7
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Fault classification using convolutional neural networks and color channels for time-frequency analysis of acoustic emissions
( SAGE Publications Inc. , 2023 , Article)We present a novel method for real-time fault classification using the time history of acoustic emissions (AEs) recorded from a lab-scale gas turbine operating under normal and faulty conditions across multiple turbine ... -
Modelling fatigue uncertainty by means of nonconstant variance neural networks
( Wiley , 2022 , Article)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 ... -
On the Suitability of Vibration Acceptance Criteria of Process Pipework
( Hindawi , 2022 , Article)The risk of vibration-induced fatigue in process pipework is usually assessed through vibration measurements. For small-bore pipework, integrity personnel would measure the vibration of the pipework and refer to widely ... -
Optimising stop-bands in periodic waveguides using genetic algorithms and wave finite element method
( American Institute of Physics , 2024 , Conference)In this paper, we propose using the wave finite element method and genetic algorithms to design periodic waveguide structures with optimal stop-bands. Instead of modelling waveguides using the standard finite element method, ... -
Probabilistic Machine Learning for Fatigue Data
(2021 , Dataset)Probabilistic neural networks (PNNs) are used to model the fatigue of metals and to model the vibration/stress relationship in process pipework. The data used in training the network and the network architecture are provided ... -
Using image processing techniques in computational mechanics
( Elsevier , 2023 , Article)The implementation methods of finite element analysis (FEA) have remained essentially unchanged since the inception of FEA in the 1960s. Alterations of any of the input or design parameters to the FEA model can potentially ... -
Using probabilistic neural networks for modeling metal fatigue and random vibration in process pipework
( John Wiley and Sons Inc , 2022 , Article)Many experiments are usually needed to quantify probabilistic fatigue behavior in metals. Previous attempts used separate artificial neural network (ANN) to calculate different probabilistic ranges which can be computationally ...
