P. Stephan Heyns

21 papers B 2Journal 18Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
A framework to define, design and construct digital twins in the mining industry.
Comput. Ind. Eng.
Luke van Eyk, P. Stephan Heyns
2025 J jnl
Spectrally regularised LVMs: A spectral regularisation framework for latent variable models designed for single-channel applications.
SoftwareX
Ryan Balshaw, P. Stephan Heyns, Daniel N. Wilke, Stephan Schmidt
2023 J jnl
A spectral regularisation framework for latent variable models designed for single channel applications.
CoRR
Ryan Balshaw, P. Stephan Heyns, Daniel N. Wilke, Stephan Schmidt
2023 — conf
Towards a Deep Reinforcement Learning based approach for real time decision making and resource allocation for Prognostics and Health Management applications.
ICPHM
Ricardo Ludeke, P. Stephan Heyns
2021 J jnl
Application of Anti-Diagonal Averaging in Response Reconstruction.
Symmetry
Bradley Dean Collins, P. Stephan Heyns, Schalk Kok, Daniel N. Wilke
2020 J jnl
A Simple Condition Monitoring Method for Gearboxes Operating in Impulsive Environments.
Sensors
Stephan Schmidt, Radoslaw Zimroz, Fakher Chaari, P. Stephan Heyns, Mohamed Haddar
2018 J jnl
Prognostics of slow speed bearings using a composite integrated Gaussian process regression model.
Int. J. Prod. Res.
Sylvester A. Aye, P. Stephan Heyns
2017 J jnl
MOTA: A Many-Objective Tuning Algorithm Specialized for Tuning under Multiple Objective Function Evaluation Budgets.
Evol. Comput.
Antoine S. D. Dymond, Schalk Kok, P. Stephan Heyns
2015 J jnl
Acoustic Emission-Based Prognostics of Slow Rotating Bearing Using Bayesian Techniques Under Dependent and Independent Samples.
Appl. Artif. Intell.
Sylvester A. Aye, P. Stephan Heyns
2015 J jnl
Tuning Optimization Algorithms Under Multiple Objective Function Evaluation Budgets.
IEEE Trans. Evol. Comput.
Antoine S. D. Dymond, Andries P. Engelbrecht, Schalk Kok, P. Stephan Heyns
2014 J jnl
Comparing orthogonal force and unidirectional strain component processing for tool condition monitoring.
J. Intell. Manuf.
Burkhard H. Freyer, P. Stephan Heyns, Nico J. Theron
2013 B conf
The sensitivity of multi-objective optimization algorithm performance to objective function evaluation budgets.
IEEE Congress on Evolutionary Computation
Antoine S. D. Dymond, Schalk Kok, P. Stephan Heyns
2012 J jnl
Consistent haul road condition monitoring by means of vehicle response normalisation with Gaussian processes.
Eng. Appl. Artif. Intell.
T. Heyns, Johan Pieter de Villiers, P. Stephan Heyns
2011 J jnl
An empirical re-sampling method on intrinsic mode function to deal with speed variation in machine fault diagnostics.
Appl. Soft Comput.
Kesheng Wang, P. Stephan Heyns
2011 B conf
The sensitivity of single objective optimization algorithm control parameter values under different computational constraints.
IEEE Congress on Evolutionary Computation
Antoine S. D. Dymond, Andries P. Engelbrecht, P. Stephan Heyns
2011 J jnl
Tool wear monitoring and selection of optimum cutting conditions with progressive tool wear effect and input uncertainties.
J. Intell. Manuf.
Sukhomay Pal, P. Stephan Heyns, Burkhard H. Freyer, Nico J. Theron, Surjya K. Pal
2009 J jnl
Machine and component residual life estimation through the application of neural networks.
Reliab. Eng. Syst. Saf.
M. A. Herzog, Tshilidzi Marwala, P. Stephan Heyns
2007 J jnl
Machine and Component Residual Life Estimation through the Application of Neural Networks
CoRR
M. A. Herzog, Tshilidzi Marwala, P. Stephan Heyns
2007 J jnl
Principal Component Analysis and Automatic Relevance Determination in Damage Identification
CoRR
L. Mdlazi, Tshilidzi Marwala, CJ Stander, Cornie Scheffer, P. Stephan Heyns
2007 J jnl
Using artificial intelligence for data reduction in mechanical engineering
CoRR
L. Mdlazi, CJ Stander, P. Stephan Heyns, Tshilidzi Marwala
2005 J jnl
A comparative evaluation of neural networks and hidden Markov models for monitoring turning tool wear.
Neural Comput. Appl.
Cornie Scheffer, Herman A. Engelbrecht, P. Stephan Heyns