Mahmoud El-Kafafy

Dr. Mahmoud El-Kafafy

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Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 May 2016 in Mechanical Systems and Signal Processing
Verified
Journal Article
Closed access
MEMahmoud El-Kafafy
Mahmoud El-Kafafy
BPBart Peeters
Bart Peeters
PGPatrick Guillaume
Patrick Guillaume
TTTim De Troyer
Tim De Troyer

22 April 2017 in Energies
Verified
Journal Article
Open access
PDF file
MEMahmoud El-Kafafy
Mahmoud El-Kafafy
CDChristof Devriendt
Christof Devriendt
PGPatrick Guillaume
Patrick Guillaume
JHJan Helsen
Jan Helsen
An offshore wind turbine (OWT) is a complex structure that consists of different parts (e.g., foundation, tower, drivetrain, blades, et al.). The last decade, there has been continuous trend towards larger machines with the goal of cost reduction. Modal behavior is an important design aspect. For tackling noise, vibration, and harshness (NVH) issues and validating complex simulation models, it is of high interest to continuously track the vibration levels and the evolution of the modal parameters (resonance frequencies, damping ratios, mode shapes) of the fundamental modes of the turbine. Wind turbines are multi-physical machines with significant interaction between their subcomponents. This paper will present the possibility of identifying and automatically tracking the structural vibration modes of the drivetrain system of an instrumented OWT by using signals (e.g., acceleration responses) measured on the drivetrain system. The experimental data has been obtained during a measurement campaign on an OWT in the Belgian North Sea where the OWT was in standstill condition. The drivetrain, more specifically the gearbox and generator, is instrumented with a dedicated measurement set-up consisting of 17 sensor channels with the aim to continuously track the vibration modes. The consistency of modal parameter estimates made at consequent 10-min intervals is validated, and the dominant drivetrain modal behavior is identified and automatically tracked.


1 October 2011 in Mechanical Systems and Signal Processing
Verified
Journal Article
Closed access
MEMahmoud El-Kafafy
Mahmoud El-Kafafy
PGPatrick Guillaume
Patrick Guillaume

1 January 2015
Verified
Book Chapter
Closed access
PDF file
MEMahmoud El-Kafafy
Mahmoud El-Kafafy
GAGiampiero Accardo
Giampiero Accardo
BPBart Peeters
Bart Peeters
KJKarl Janssens
Karl Janssens
TTTim De Troyer
Tim De Troyer
PGPatrick Guillaume
Patrick Guillaume

1 January 2015
Verified
Book Chapter
Closed access
PDF file
GAG. Accardo
G. Accardo
MEMahmoud El-Kafafy
Mahmoud El-Kafafy
BPB. Peeters
B. Peeters
FBF. Bianciardi
F. Bianciardi
DBD. Brandolisio
D. Brandolisio
MMM. Martarelli
M. Martarelli