Stephan Heyns

Stephan Heyns

University of Pretoria

H-index: 44

Africa-South Africa

About Stephan Heyns

Stephan Heyns, With an exceptional h-index of 44 and a recent h-index of 32 (since 2020), a distinguished researcher at University of Pretoria, specializes in the field of vibration monitoring, condition monitoring, laser vibrometry.

His recent articles reflect a diverse array of research interests and contributions to the field:

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

Development of an approach to incorporate proportional hazard modelling into a risk-based inspection methodology

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

Latent indicators for temporal-preserving latent variable models in vibration-based condition monitoring under non-stationary conditions

Optimal filter design for rotating machinery fault detection under time-varying speed conditions

A hybrid framework for remaining useful life estimation of turbomachine rotor blades

Importance of temporal preserving latent analysis for latent variable models in fault diagnostics of rotating machinery

A Short Review of Gear Fault Modelling in a Hybrid Modelling Context

Stephan Heyns Information

University

Position

___

Citations(all)

5289

Citations(since 2020)

2974

Cited By

3390

hIndex(all)

44

hIndex(since 2020)

32

i10Index(all)

110

i10Index(since 2020)

83

Email

University Profile Page

University of Pretoria

Google Scholar

View Google Scholar Profile

Stephan Heyns Skills & Research Interests

vibration monitoring

condition monitoring

laser vibrometry

Top articles of Stephan Heyns

Title

Journal

Author(s)

Publication Date

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

2023/6/5

Development of an approach to incorporate proportional hazard modelling into a risk-based inspection methodology

Journal of Quality in Maintenance Engineering

Nzita Alain Lelo

P Stephan Heyns

Johann Wannenburg

2023/3/7

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

arXiv preprint arXiv:2310.19246

Ryan Balshaw

P Stephan Heyns

Daniel N Wilke

Stephan Schmidt

2023/10/30

Latent indicators for temporal-preserving latent variable models in vibration-based condition monitoring under non-stationary conditions

Mechanical Systems and Signal Processing

Ryan Balshaw

P Stephan Heyns

Daniel N Wilke

Stephan Schmidt

2023/9/15

Optimal filter design for rotating machinery fault detection under time-varying speed conditions

Stephan Schmidt

Daniël N Wilke

P Stephan Heyns

Konstantinos C Gryllias

2023/7/10

A hybrid framework for remaining useful life estimation of turbomachine rotor blades

Mechanical Systems and Signal Processing

Brian Ellis

P Stephan Heyns

Stephan Schmidt

2022/5/1

Importance of temporal preserving latent analysis for latent variable models in fault diagnostics of rotating machinery

Mechanical Systems and Signal Processing

Ryan Balshaw

P Stephan Heyns

Daniel N Wilke

Stephan Schmidt

2022/4/1

A Short Review of Gear Fault Modelling in a Hybrid Modelling Context

Luke van Eyk

P Stephan Heyns

Stephan Schmidt

2022

Keynote summaries of the first international symposium on dynamics, monitoring and diagnostics

Journal of Dynamics, Monitoring and Diagnostics

Jérôme Antoni

P Stephan Heyns

Jing Lin

Huajiang Ouyang

Stephan Schmidt

...

2022/10/19

On the Use of Jerk for Condition Monitoring of Gearboxes in Non-stationary Operations

Fakher Chaari

Stephan Schmidt

Ahmed Hammami

P Stephan Heyns

Mohamed Haddar

2022

Development of a model efficiency improvement for the designing of feedwater heaters network in thermal power plants

Journal of Energy Resources Technology

Siamak Hoseinzadeh

P Stephan Heyns

2022/7/1

Rotating Machinery Condition Monitoring Methods for Applications with Different Kinds of Available Prior Knowledge

Stephan Schmidt

P Stephan Heyns

2022

Method and system for measuring rotor blade tip deflection using blade tip timing (BTT)

2022/5/17

A comparison between independent component analysis and established signal processing methods for gearbox fault diagnosis under time-varying operating conditions

Stephan Schmidt

Daniel N Wilke

P Stephan Heyns

2022

Identifiability Considerations for Rotating Machine Fault Diagnosis and Prognosis

Stephan Schmidt

P Stephan Heyns

Daniel N Wilke

2021/2/25

Generalized Prototype Bootstrapping for Nonlinear System Identification in an Accelerated Fatigue Testing Context

J Crous

S Kok

DN Wilke

PS Heyns

2021/2/25

Control of Rotor Side of DFIG with Intelligent Proportional Controller

Maroua Haddar

Nouha Kammoun

Stephan Schmidt

Philippus Stephan Heyns

Fakher Chaari

...

2021/12/20

Self-sensing active control of emulated tangential tool vibration hardware-in-the-loop

Control Engineering Practice

Burkhard H Freyer

Nico J Theron

P Stephan Heyns

Lutz A Pickelmann

2021/4/1

Development of a Modal-Based Turbomachine Blade-Disk Attachment Inspection Technique

International Journal of Engineering Research in Africa

Khathutshelo Kentridge Mantsha

Dawood Ahmed Desai

P Stephan Heyns

2021/7/2

Development of an acoustic material property database and universal airflow resistivity model

Applied Acoustics

RK Dunne

Dawood A Desai

Philippus Stephanus Heyns

2021/2/1

See List of Professors in Stephan Heyns University(University of Pretoria)