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Thomas E McLeay
Thomas E McLeay
Sandvik Coromant
Verified email at sandvik.com
Title
Cited by
Cited by
Year
Tool wear monitoring using naive Bayes classifiers
J Karandikar, T McLeay, S Turner, T Schmitz
The International Journal of Advanced Manufacturing Technology 77, 1613-1626, 2015
1012015
Using spindle noise to monitor tool wear in a turning process
N Seemuang, T McLeay, T Slatter
The International Journal of Advanced Manufacturing Technology 86, 2781-2790, 2016
762016
A Bayesian framework to estimate part quality and associated uncertainties in multistage manufacturing
M Papananias, TE McLeay, M Mahfouf, V Kadirkamanathan
computers in industry 105, 35-47, 2019
362019
A multivariate control chart for autocorrelated tool wear processes
K Harris, K Triantafyllopoulos, E Stillman, T McLeay
Quality and Reliability Engineering International 32 (6), 2093-2106, 2016
262016
Inspection by exception: A new machine learning-based approach for multistage manufacturing
M Papananias, TE McLeay, O Obajemu, M Mahfouf, V Kadirkamanathan
Applied Soft Computing 97, 106787, 2020
192020
An intelligent metrology informatics system based on neural networks for multistage manufacturing processes
M Papananias, TE McLeay, M Mahfouf, V Kadirkamanathan
Procedia CIRP 82, 444-449, 2019
182019
A novel approach to machining process fault detection using unsupervised learning
T McLeay, MS Turner, K Worden
Proceedings of the Institution of Mechanical Engineers, Part B: Journal of …, 2021
122021
Failure mode analysis to define process monitoring systems
T Mcleay, MS Turner
Journal of machine engineering 11 (4), 118--129, 2011
92011
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
A Bayesian information fusion approach for end product quality estimation using machine learning and on-machine probing
M Papananias, TE McLeay, M Mahfouf, V Kadirkamanathan
Journal of Manufacturing Processes 76, 475-485, 2022
82022
A two-step machining and active learning approach for right-first-time robotic countersinking through in-process error compensation and prediction of depth of cuts
M Leco, T McLeay, V Kadirkamanathan
Robotics and Computer-Integrated Manufacturing 77, 102345, 2022
72022
Remaining useful tool life predictions using Bayesian inference
J Karandikar, T McLeay, S Turner, T Schmitz
International Manufacturing Science and Engineering Conference 55461 …, 2013
72013
Machining distortion in asymmetrical residual stress profiles
R Bilkhu, S Ayvar-Soberanis, C Pinna, T McLeay
Procedia CIRP 82, 395-399, 2019
62019
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
Development of a new machine learning-based informatics system for product health monitoring
M Papananias, O Obajemu, TE McLeay, M Mahfouf, V Kadirkamanathan
Procedia CIRP 93, 473-478, 2020
52020
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
Unsupervised monitoring of machining processes
TE McLeay
University of Sheffield, 2016
52016
Work holding assessment of an UV adhesive and fixture design method
S Yao, E Ozturk, D Curtis, T McLeay
The International Journal of Advanced Manufacturing Technology 106, 741-752, 2020
42020
A probabilistic framework for product health monitoring in multistage manufacturing using Unsupervised Artificial Neural Networks and Gaussian Processes
M Papananias, TE McLeay, M Mahfouf, V Kadirkamanathan
Proceedings of the Institution of Mechanical Engineers, Part B: Journal of …, 2023
32023
An interpretable machine learning based approach for process to areal surface metrology informatics
O Obajemu, M Mahfouf, M Papananias, TE McLeay, V Kadirkamanathan
Surface Topography: Metrology and Properties 9 (4), 044001, 2021
22021
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