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Stephan Schmidt
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A tacholess order tracking methodology based on a probabilistic approach to incorporate angular acceleration information into the maxima tracking process
S Schmidt, PS Heyns, JP De Villiers
Mechanical Systems and Signal Processing 100, 630-646, 2018
872018
A time series model-based method for gear tooth crack detection and severity assessment under random speed variation
Y Chen, S Schmidt, PS Heyns, MJ Zuo
Mechanical Systems and Signal Processing 156, 107605, 2021
542021
A discrepancy analysis methodology for rolling element bearing diagnostics under variable speed conditions
S Schmidt, PS Heyns, KC Gryllias
Mechanical Systems and Signal Processing 116, 40-61, 2019
502019
An informative frequency band identification framework for gearbox fault diagnosis under time-varying operating conditions
S Schmidt, PS Heyns, KC Gryllias
Mechanical Systems and Signal Processing 158, 107771, 2021
392021
A novelty detection diagnostic methodology for gearboxes operating under fluctuating operating conditions using probabilistic techniques
S Schmidt, PS Heyns, JP De Villiers
Mechanical Systems and Signal Processing 100, 152-166, 2018
362018
A methodology for identifying information rich frequency bands for diagnostics of mechanical components-of-interest under time-varying operating conditions
S Schmidt, A Mauricio, PS Heyns, KC Gryllias
Mechanical Systems and Signal Processing 142, 106739, 2020
352020
Normalisation of the amplitude modulation caused by time-varying operating conditions for condition monitoring
S Schmidt, PS Heyns
Measurement 149, 106964, 2020
332020
A methodology using the spectral coherence and healthy historical data to perform gearbox fault diagnosis under varying operating conditions
S Schmidt, PS Heyns, KC Gryllias
Applied Acoustics 158, 107038, 2020
272020
Enhancing gearbox vibration signals under time-varying operating conditions by combining a whitening procedure and a synchronous processing method
S Schmidt, R Zimroz, PS Heyns
Mechanical Systems and Signal Processing 156, 107668, 2021
262021
A Simple Condition Monitoring Method for Gearboxes Operating in Impulsive Environments
S Schmidt, R Zimroz, F Chaari, PS Heyns, M Haddar
Sensors 20 (7), 2115, 2020
252020
Localised gear anomaly detection without historical data for reference density estimation
S Schmidt, PS Heyns
Mechanical Systems and Signal Processing 121, 615-635, 2019
202019
The anomalous and smoothed anomalous envelope spectra for rotating machine fault diagnosis
S Schmidt, KC Gryllias
Mechanical Systems and Signal Processing 158, 107770, 2021
182021
A pre-processing methodology to enhance novel information for rotating machine diagnostics
S Schmidt, PS Heyns, KC Gryllias
Mechanical Systems and Signal Processing 124, 541-561, 2019
182019
A hybrid framework for remaining useful life estimation of turbomachine rotor blades
B Ellis, PS Heyns, S Schmidt
Mechanical Systems and Signal Processing 170, 108805, 2022
132022
An open set recognition methodology utilising discrepancy analysis for gear diagnostics under varying operating conditions
S Schmidt, PS Heyns
Mechanical Systems and Signal Processing 119, 1-22, 2019
132019
NIC Methodology: A probabilistic methodology for improved informative frequency band identification by utilizing the available healthy historical data under time-varying …
WN Niehaus, S Schmidt, PS Heyns
Journal of Sound and Vibration 488, 115642, 2020
102020
Combining an optimisation-based frequency band identification method with historical data for novelty detection under time-varying operating conditions
S Schmidt, KC Gryllias
Measurement 169, 108517, 2021
92021
Importance of temporal preserving latent analysis for latent variable models in fault diagnostics of rotating machinery
R Balshaw, PS Heyns, DN Wilke, S Schmidt
Mechanical Systems and Signal Processing 168, 108663, 2022
82022
Keynote Summaries of the First International Symposium on Dynamics, Monitoring and Diagnostics
J Antoni, PS Heyns, J Lin, H Ouyang, S Schmidt, WA Smith, DN Wilke
Journal of Dynamics, Monitoring and Diagnostics, 189-199, 2022
72022
Latent indicators for temporal-preserving latent variable models in vibration-based condition monitoring under non-stationary conditions
R Balshaw, PS Heyns, DN Wilke, S Schmidt
Mechanical Systems and Signal Processing 199, 110446, 2023
32023
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