P. Stephan Heyns

According to our database, P. Stephan Heyns authored at least 18 papers between 2005 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

A spectral regularisation framework for latent variable models designed for single channel applications.

Ryan Balshaw, P. Stephan Heyns, Daniel N. Wilke, Stephan Schmidt

CoRR, 2023

Towards a Deep Reinforcement Learning based approach for real time decision making and resource allocation for Prognostics and Health Management applications.

Ricardo Ludeke, P. Stephan Heyns

Proceedings of the IEEE International Conference on Prognostics and Health Management, 2023

2021

Application of Anti-Diagonal Averaging in Response Reconstruction.

Bradley Dean Collins, P. Stephan Heyns, Schalk Kok, Daniel N. Wilke

Symmetry, 2021

2020

A Simple Condition Monitoring Method for Gearboxes Operating in Impulsive Environments.

Stephan Schmidt, Radoslaw Zimroz, Fakher Chaari, P. Stephan Heyns, Mohamed Haddar

Sensors, 2020

2018

Prognostics of slow speed bearings using a composite integrated Gaussian process regression model.

Sylvester A. Aye, P. Stephan Heyns

Int. J. Prod. Res., 2018

2017

MOTA: A Many-Objective Tuning Algorithm Specialized for Tuning under Multiple Objective Function Evaluation Budgets.

Antoine S. D. Dymond, Schalk Kok, P. Stephan Heyns

Evol. Comput., 2017

2015

Tuning Optimization Algorithms Under Multiple Objective Function Evaluation Budgets.

Antoine S. D. Dymond, Andries P. Engelbrecht, Schalk Kok, P. Stephan Heyns

IEEE Trans. Evol. Comput., 2015

Acoustic Emission-Based Prognostics of Slow Rotating Bearing Using Bayesian Techniques Under Dependent and Independent Samples.

Sylvester A. Aye, P. Stephan Heyns

Appl. Artif. Intell., 2015

2014

Comparing orthogonal force and unidirectional strain component processing for tool condition monitoring.

Burkhard H. Freyer, P. Stephan Heyns, Nico J. Theron

J. Intell. Manuf., 2014

2013

The sensitivity of multi-objective optimization algorithm performance to objective function evaluation budgets.

Antoine S. D. Dymond, Schalk Kok, P. Stephan Heyns

Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012

Consistent haul road condition monitoring by means of vehicle response normalisation with Gaussian processes.

T. Heyns, Johan Pieter de Villiers, P. Stephan Heyns

Eng. Appl. Artif. Intell., 2012

2011

Tool wear monitoring and selection of optimum cutting conditions with progressive tool wear effect and input uncertainties.

Sukhomay Pal, P. Stephan Heyns, Burkhard H. Freyer, Nico J. Theron, Surjya K. Pal

J. Intell. Manuf., 2011

An empirical re-sampling method on intrinsic mode function to deal with speed variation in machine fault diagnostics.

Kesheng Wang, P. Stephan Heyns

Appl. Soft Comput., 2011

The sensitivity of single objective optimization algorithm control parameter values under different computational constraints.

Antoine S. D. Dymond, Andries P. Engelbrecht, P. Stephan Heyns

Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2009

Machine and component residual life estimation through the application of neural networks.

M. A. Herzog, Tshilidzi Marwala, P. Stephan Heyns

Reliab. Eng. Syst. Saf., 2009

2007

Using artificial intelligence for data reduction in mechanical engineering

L. Mdlazi, C. J. Stander, P. Stephan Heyns, Tshilidzi Marwala

CoRR, 2007

Principal Component Analysis and Automatic Relevance Determination in Damage Identification

L. Mdlazi, Tshilidzi Marwala, C. J. Stander, Cornie Scheffer, P. Stephan Heyns

CoRR, 2007

2005

A comparative evaluation of neural networks and hidden Markov models for monitoring turning tool wear.

Cornie Scheffer, Herman A. Engelbrecht, P. Stephan Heyns

Neural Comput. Appl., 2005