BRAM VERVISCH

Experience

Oct 2017 – Present

Orbits Machinery Diagnostics – Cofounder

Advising and diagnosing machinery faults by electrical signature analysis and vibrations analysis

Jan 2018 – Aug 2018

Tremec – NVH Engineer

NVH optimization in de development and production of Dual Clutch Transmissions

Oct 2013 – Present

University of Ghent

Visiting Professor,  Feb 2018 – Present

Teaching Machine Optimization and Machinery Fault Diagnosis

 

Postdoctoral Assistant, Oct 2016 – Dec 2017

Continuing research on rotordynamics and teaching about Machine Optimization

 

Research and Teaching assistant, Oct 2013 – Sep 2016

PhD on rotordynamics and teaching about Machine Optmization

Oct 2009 – Sep 2013

Hogeschool West-Vlaanderen

Research and Teaching assistant

Research on efficiency of electric machines, PhD on rotordynamics, teaching about mechanical vibrations

Jul 2018 – Dec 2018 

Deba – Project engineer

Planning of Medium Voltage switchgear and installations

Education

2010 – 2016

University of Ghent

PhD in Electromechanical Engineering

2004 – 2008

Hogeschool West-Vlaanderen

Master in Electromechanical Engineering

Licences & Certifications

TypeValid until

26/07/2022

ISO 18436-1 CAT III Vibration analist
BA4/BA5 certification HD 384.3 3227/09/2026
Veiligheid, Gezondheid en Milieu Checklist Aannemers VCA-VOL10/12/2031

 

Relevant teaching experience

  • Academic teaching in: machine optimization, mechanical vibrations, noise, machinery fault diagnosis

(Ghent University, 2009 – Now)

  • Electrical Signature Analysis, Vibration Analysis, Operational Deflection Shape Analysis and Modal Analysis
    (Orbits, 2018 – present)

Relevant practical experience

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.
 

Research on structural dynamics!

We support innovative research projects! We enthusiastically support academic research projects in several Flemish universities. In the TETRA-project OPTIFLEX (Ghent University, University of Antwerp, KU

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Ready? Set? Go!

We are always ready to come your way! Having a critical machine in operation with a doubtful reliability can be very stressful! At any time,

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