Involved in many industrial diagnostic troublseshooting cases for many international companies active in the sectors of petrochemics, pharmaceutics, energy production, steel manufacturers, marine and offshore…
Summary of relevant publications
Academic
Derammelaere, S., Vervisch, B., De Viaene, J., Stockman, K. Sensorless load angle control for two-phase hybrid stepper motors. Mechatronics, 43, 6-17 (2017)
Janssens, O., Slavkovikj, V., Vervisch, B., et al. Convolutional Neural Network Based Fault Detection for Rotating Machinery. Journal of Sound and Vibration, 377, 331-345 (2016)
Vervisch, Bram, Stijn Derammelaere, Kurt Stockman, et al. “On the Experimental Prediction of the Stability Threshold Speed Caused by Rotating Damping.”Ed. H. Ouyang. Journal of Sound And Vibration (2016)
Nevaranta, Niko, Stijn Derammelaere, Jukka Parkkinen, et al. “Online Identification of a Mechanical System in Frequency Domain Using Sliding DFT.”IEEE Transacations on Industrial Electronics (2016)
Vervisch, Bram, Kurt Stockman, and Mia Loccufier. “Estimation of the Damping Matrix in Rotating Machinery for the Calculation of the Stability Threshold Speed.” International Journal of Structural Stability and Dynamics (2014)
Derammelaere, Stijn, Bram Vervisch, Johannes Cottyn, et al. “The Efficiency of Hybrid Stepping Motors: Analyzing the Impact of Control Algorithms.”IEEE Industry Applications Magazine (2014): 50-60.
Non – academic
Corne, Bram, Bram Vervisch. Acquiring drive train insights by using the electric motor as a lateral and torsional vibration sensor. Technical white paper Samotics 2020.
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