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 | 93 | 2018 |
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 | 56 | 2021 |
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 | 50 | 2019 |
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 | 40 | 2021 |
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 | 36 | 2018 |
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 | 35 | 2020 |
Normalisation of the amplitude modulation caused by time-varying operating conditions for condition monitoring S Schmidt, PS Heyns Measurement 149, 106964, 2020 | 34 | 2020 |
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 | 27 | 2020 |
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 | 26 | 2021 |
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 | 26 | 2020 |
Localised gear anomaly detection without historical data for reference density estimation S Schmidt, PS Heyns Mechanical Systems and Signal Processing 121, 615-635, 2019 | 22 | 2019 |
The anomalous and smoothed anomalous envelope spectra for rotating machine fault diagnosis S Schmidt, KC Gryllias Mechanical Systems and Signal Processing 158, 107770, 2021 | 18 | 2021 |
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 | 18 | 2019 |
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 | 14 | 2022 |
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 | 14 | 2019 |
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 | 11 | 2020 |
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 | 9 | 2021 |
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 | 8 | 2022 |
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 | 8 | 2022 |
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 | 4 | 2023 |