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P. S. Heyns

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CE3

identity via Semantic Scholar / OpenAlex

most citedPrincipal Component Analysis and Automatic Relevance Determination in Damage Identification

6 citations · 9 across the 3 of their papers we have counts for

collaborators
Showing cs.CEShow all

3 papers · 1 filter

cs.CE2007

Using artificial intelligence for data reduction in mechanical engineering

L. Mdlazi, C. J. Stander, P. S. Heyns +1

In this paper artificial neural networks and support vector machines are used to reduce the amount of vibration data that is required to estimate the Time Domain Average of a gear…

cs.CE2007★ 6 cited

Principal Component Analysis and Automatic Relevance Determination in Damage Identification

L. Mdlazi, T. Marwala, C. J. Stander +2

This paper compares two neural network input selection schemes, the Principal Component Analysis (PCA) and the Automatic Relevance Determination (ARD) based on Mac-Kay's evidence f…

cs.CE2007★ 3 cited

Machine and Component Residual Life Estimation through the Application of Neural Networks

M. A. Herzog, T. Marwala, P. S. Heyns

This paper concerns the use of neural networks for predicting the residual life of machines and components. In addition, the advantage of using condition-monitoring data to enhance…

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