CNC Machining Centre Thermal Error Prediction from Temperature Sensors Using Autoencoder-Augmented Long Short Term Memory Networks
Published by
Journal of Physics : Conference Series
Summary
conference-paper
About
Mohamed is a Project Engineer in Automation Systems at Warwick Manufacturing Group (WMG), The University of Warwick. He obtained his PhD at Coventry University, having studied intelligent predictive models for smart manufacturing systems. His research focus has been developing deep learning approaches for enhancing machine health and performance understanding at component and machine level. In this research, different data modalities were explored to predict machine tool wear from images and numerical data using feature learning methods, dealing with data availability constraints. Mohamed 's undergraduate background is in Mechatronic and Robotic Engineering, graduating with an MEng from the University of Sheffield (2012-2016). His undergraduate thesis focused on developing a computer vision add-on for a self-reconfigurable modular robot platform developed at the Sheffield Robotics laboratory.
Work
Organisation
United Kingdom of Great Britain and Northern Ireland
University of Warwick
|Project Engineer - Automation Systems
United Kingdom of Great Britain and Northern Ireland
→
Coventry University
|Associate Tutor
United Kingdom of Great Britain and Northern Ireland
→
Education
Coventry University
United Kingdom of Great Britain and Northern Ireland
→
Coventry University
United Kingdom of Great Britain and Northern Ireland
→
PhD
University of Sheffield
United Kingdom of Great Britain and Northern Ireland
→
Mechatronic and Robotic Engineering
Publications
Cutting tool prognostics enabled by hybrid CNN-LSTM with transfer learning
Published by
The International Journal of Advanced Manufacturing Technology
Summary
journal-article
Deep Learning for Intelligent CNC Machine Condition Monitoring and Prognostics
Summary
dissertation-thesis
Transfer learning enabled convolutional neural networks for estimating health state of cutting tools
Published by
Robotics and Computer-Integrated Manufacturing
Summary
journal-article
Transfer learning enabled convolutional neural networks for estimating health state of cutting tools
Published by
Robotics and Computer-Integrated Manufacturing
Summary
journal-article
Deep Transfer Learning Enabled Estimation of Health State of Cutting Tools
Published by
Springer Series in Advanced Manufacturing
Summary
book-chapter
Cutting tool prognostics enabled by hybrid CNN-LSTM with transfer learning
Published by
The International Journal of Advanced Manufacturing Technology
Summary
journal-article
Transfer Learning Enabled Convolutional Neural Networks for Cutting Tool Prognostics
Published by
Doctoral Capability and Development Conference 2020, Coventry University
Summary
conference-poster
Cobot programming for collaborative industrial tasks: An overview
Published by
Robotics and Autonomous Systems
Summary
journal-article
Cobot programming for collaborative industrial tasks: An overview
Published by
Robotics and Autonomous Systems
Summary
journal-article
Cobot Programming for Collaborative Industrial Tasks: An Overview
Published by
Robotics and Autonomous Systems
Summary
journal-article