P. Stephan Heyns
Orcid: 0000-0002-6164-9490
According to our database1,
P. Stephan Heyns
authored at least 18 papers
between 2005 and 2023.
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Bibliography
2023
A spectral regularisation framework for latent variable models designed for single channel applications.
CoRR, 2023
Towards a Deep Reinforcement Learning based approach for real time decision making and resource allocation for Prognostics and Health Management applications.
Proceedings of the IEEE International Conference on Prognostics and Health Management, 2023
2021
2020
A Simple Condition Monitoring Method for Gearboxes Operating in Impulsive Environments.
Sensors, 2020
2018
Prognostics of slow speed bearings using a composite integrated Gaussian process regression model.
Int. J. Prod. Res., 2018
2017
MOTA: A Many-Objective Tuning Algorithm Specialized for Tuning under Multiple Objective Function Evaluation Budgets.
Evol. Comput., 2017
2015
IEEE Trans. Evol. Comput., 2015
Acoustic Emission-Based Prognostics of Slow Rotating Bearing Using Bayesian Techniques Under Dependent and Independent Samples.
Appl. Artif. Intell., 2015
2014
Comparing orthogonal force and unidirectional strain component processing for tool condition monitoring.
J. Intell. Manuf., 2014
2013
The sensitivity of multi-objective optimization algorithm performance to objective function evaluation budgets.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013
2012
Consistent haul road condition monitoring by means of vehicle response normalisation with Gaussian processes.
Eng. Appl. Artif. Intell., 2012
2011
Tool wear monitoring and selection of optimum cutting conditions with progressive tool wear effect and input uncertainties.
J. Intell. Manuf., 2011
An empirical re-sampling method on intrinsic mode function to deal with speed variation in machine fault diagnostics.
Appl. Soft Comput., 2011
The sensitivity of single objective optimization algorithm control parameter values under different computational constraints.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011
2009
Machine and component residual life estimation through the application of neural networks.
Reliab. Eng. Syst. Saf., 2009
2007
CoRR, 2007
Principal Component Analysis and Automatic Relevance Determination in Damage Identification
CoRR, 2007
2005
A comparative evaluation of neural networks and hidden Markov models for monitoring turning tool wear.
Neural Comput. Appl., 2005