prof. dr. Bram Vervisch
- ORCID iD
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0000-0002-1766-5733
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Realtime locomotion control of a snakeboard robot based on a novel model, enabling better physical insights
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A modal model for the experimental prediction of the stability threshold speed
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The reflection of evolving bearing faults in the stator current’s extended park vector approach for induction machines
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Emulating single point bearing faults with the use of an active magnetic bearing
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- Conference Paper
- P1
- open access
Single point outer race bearing fault severity estimation using stator current measurements
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Sensorless load angle control for two-phase hybrid stepper motors
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The robustness of an experimental procedure to predict the stability threshold speed in rotating machinery
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- PhD Thesis
- open access
Experimental analysis of rotating damping in high speed machinery
(2016) -
- Journal Article
- A1
- open access
Online identification of a two-mass system in frequency domain using a Kalman filter
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Convolutional neural network based fault detection for rotating machinery