P. Stephan Heyns

Orcid: 0000-0002-6164-9490

According to our database1, P. Stephan Heyns authored at least 18 papers between 2005 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

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
Application of Anti-Diagonal Averaging in Response Reconstruction.
Symmetry, 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
Tuning Optimization Algorithms Under Multiple Objective Function Evaluation Budgets.
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
Using artificial intelligence for data reduction in mechanical engineering
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


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