BRAM CORNE

Experience

Jan 2018 – Present

Orbits – Machinery Diagnostics – Cofounder

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

Feb 2018 – Dec 2020 

Prüftechnik N.V.  – Senior Diagnostic Engineer  

Machinery diagnostics by vibration analysis

Sep 2012 – Feb 2018

Ghent University

Postdoctoral Researcher – Motor Current Signature Analysis industrial implementation

PhD Student – Condition monitoring with Motor Current Signature Analaysis

Education

2012 – 2017

Ghent University

PhD in Electromechanical Engineering

2008 – 2012 

Hogeschool West-Vlaanderen

Master in Electromechanical Engineering

Licences & Certifications

Type Valid until

Asset Reliability Practicioner – A (ARP-A) 05/12/2024

ISO 18436-1 CAT IV Vibration analist 03/12/2023

BA4/BA5 certification HD 384.3 32 27/09/2026

Veiligheid, Gezondheid en Milieu Checklist Aannemers VCA-VOL 23/02/2028

OPITO BOSIET NOGEPA Offshore Survival Training 07/11/2023

Certificate of Coverage A1 for West-Europe 31/12/2022

Relevant teaching experience

  • Low Voltage Technology and Power Quality
    (Ghent University, 2012 – 2018)

  • ISO 18436-2 Cat I-II-III vibration analist training
    (Mobius Institute, 2018 – present)

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

Relevant diagnostic 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

  • Bram Corne, Bram Vervisch, Stijn Derammelaere, Jos Knockaert and Jan Desmet. “The Reflection of Evolving Bearing Faults in the Stator Current’s Extended Park Vector Approach for Induction Machines” Elsevier Mechanical Systems & Signal Processing, 2017.

     

  • Bram Corne, Bram Vervisch, Stijn Derammelaere,
    Jos Knockaert and Jan Desmet. “Single Point Outer Race Bearing Fault Severity Estimation Using Stator Current Measurements” IEEE International Electrical Machines & Drives Conference (IEMDC), Miami FL, 2017.

     

  • Bram Corne, Jos Knockaert, and Jan Desmet. “Misalignment and Unbalance Fault Severity Estimation Using Stator Current Measurements.” IEEE Symposium on Diagnostics of Electric Machines, Power Electronics & Drives (SDEMPED), Tinos, 2017.

     

  • Bram Corne, Bram Vervisch, Stijn Derammelaere, Jos Knockaert and Jan Desmet. “Emulating Single Point Bearing Faults with the Use of an Active Magnetic Bearing.” IET Science Measurement & Technology, 2017.

     

  • Colin Debruyne, Peter Sergeant, Bram Corne, et al. “Modeling and Validation of Losses Due to Unbalanced Loading of Stand-alone Generators.”, IEEE Electric Machines & Drives Conference (IEMDC), Miami FL, 2017.

     

  • Bram Corne and Jan Desmet. “Nulgeleiderstromen in Laagspanningsinstallaties.” Elektricien, 2016.

     

  • Bram Corne, Jos Knockaert, and Jan Desmet. “Emulating Bearing Faults: a Novel Approach.”, IEEE International Conference on Electrical Machines (ICEM), Lausanne, 2016.

     

  • Bram Corne, Bram Vervisch, Colin Debruyne, Jos Knockaert and Jan Desmet. “Comparing MCSA with Vibration Analysis in Order to Detect Bearing Faults: a Case Study.” IEEE International Electric Machines & Drives Conference (IEMDC), Idaho, 2015.

     

  • Colin Debruyne, Bram Corne, Peter Sergeant, et al. “Evaluation of the Additional Loss Due to Supply Voltage Distortion in Relation to Induction Motor Efficiency Rating.” IEEE International Electric Machines & Drives Conference (IEMDC), Idaho, 2015.

     

  • Bram Corne, Desmet, Jan, Jos Knockaert, Peter Sergeant, et al. “Laagspanningsinstallaties: Technologie en Ontwerp.” 3rd ed. Universiteit Gent, 2015.

     

  • Bram Corne, Colin Debruyne, Patrick De Baets and Jan Desmet. ”Stator Current Measurements as a Condition Monitoring Technology: The-state-of-the-art.” IEEE International Conference on Electrical Machines (ICEM), Berlin, 2014.

     

Non – academic

  • Corne, Bram, Vervisch, Bram. Acquiring drive train insights by using the electric motor as a lateral and torsional vibration sensor. Technical white paper Samotics 2020.  
 

Who is MADI?

Who is MADI? MADI is not a person; it’s a buffet, perfectly aligned with your New Year’s resolutions.It’s a training buffet. MADI stands for Machinery

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