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Chandula T Wickramarachchi
Chandula T Wickramarachchi
Research Associate, University of Sheffield
Verified email at sheffield.ac.uk
Title
Cited by
Cited by
Year
Experimental investigations on effects of frequency in ultrasonically-assisted end-milling of AISI 316L: a feasibility study
A Maurotto, CT Wickramarachchi
Ultrasonics 65, 113-120, 2016
792016
Probabilistic active learning: an online framework for structural health monitoring
LA Bull, TJ Rogers, C Wickramarachchi, EJ Cross, K Worden, N Dervilis
Mechanical Systems and Signal Processing 134, 106294, 2019
642019
Online damage detection of cutting tools using Dirichlet process mixture models
CT Wickramarachchi, TJ Rogers, TE McLeay, W Leahy, EJ Cross
Mechanical Systems and Signal Processing 180, 109434, 2022
82022
Implementation of an organic database structure for population-based structural health monitoring
DS Brennan, CT Wickramarachchi, EJ Cross, K Worden
Dynamics of Civil Structures, Volume 2: Proceedings of the 39th IMAC, A …, 2022
72022
Towards population-based structural health monitoring, Part V: Networks and databases
CT Wickramarachchi, DS Brennan, W Lin, E Maguire, DY Harvey, ...
Data Science in Engineering, Volume 9: Proceedings of the 39th IMAC, A …, 2022
72022
Tool wear inspection of polycrystalline cubic boron nitride inserts
C Wickramarachchi, TE McLeay, S Ayvar-Soberanis, W Leahy, EJ Cross
Special Topics in Structural Dynamics, Volume 5: Proceedings of the 36th …, 2019
62019
On metrics assessing the information content of datasets for population-based structural health monitoring
CT Wickramarachchi, W Leahy, K Worden, EJ Cross
European Workshop on Structural Health Monitoring: Special Collection of …, 2021
52021
A probabilistic framework for online structural health monitoring: active learning from machining data streams
LA Bull, K Worden, TJ Rogers, C Wickramarachchi, EJ Cross, T McLeay, ...
Journal of Physics: Conference Series 1264 (1), 012028, 2019
52019
Automated testing of advanced cutting tool materials
C Wickramarachchi
University of Sheffield, 2019
52019
On the use of graph kernels for assessing similarity of structures in population-based structural health monitoring
CT Wickramarachchi, J Gosliga, EJ Cross, K Worden
European Workshop on Structural Health Monitoring, 995-1004, 2022
32022
Predicting Tool Wear Using Linear Response Surface Methodology and Gaussian Process Regression
CT Wickramarachchi, TJ Rogers, W Leahy, EJ Cross
Topics in Modal Analysis & Testing, Volume 8: Proceedings of the 38th IMAC …, 2021
32021
On aspects of geometry in SHM and population-based SHM
CT Wickramarachchi, J Poole, EJ Cross, K Worden
Data Science in Engineering, Volume 9: Proceedings of the 40th IMAC, A …, 2012
32012
Measuring data similarity in population-based structural health monitoring using distance metrics
CT Wickramarachchi, E Maguire, EJ Cross, K Worden
Structural Health Monitoring, 14759217231207526, 2023
12023
Statistical alignment in transfer learning to address the repair problem: An experimental case study
CT Wickramarachchi
Hannover: Institutionelles Repositorium der Leibniz Universität Hannover, 2023
12023
Damage localisation using disparate damage states via domain adaptation
CT Wickramarachchi, P Gardner, J Poole, C Hübler, C Jonscher, R Rolfes
Data-Centric Engineering 5, e3, 2024
2024
Sharing Information Between Machine Tools to Improve Surface Finish Forecasting
DR Clarkson, LA Bull, TA Dardeno, CT Wickramarachchi, EJ Cross, ...
arXiv preprint arXiv:2310.05807, 2023
2023
Assessing the Information Content of Datasets for Structural Health Monitoring
CT WICKRAMARACHCHI, X JIANG, EJ CROSS, K WORDEN
STRUCTURAL HEALTH MONITORING 2021, 2021
2021
Online Damage State Clustering of Cutting Tools Using Dirichlet Process Mixture Models
CT WICKRAMARACHCHI, TJ ROGERS, W LEAHY, TE MCLEAY, ...
Structural Health Monitoring 2019, 2019
2019
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