Person

Baher Azzam

M. Sc.
Chair for Wind Power Drives

Address

Building 4741

Room 301

Campus Boulevard 61

52074 Aachen

Contact

WorkPhone
Phone: +49 241 80 20543
 

Vita

Baher Azzam, M. Sc., obtained his Master degree in Management and Engineering in Production Systems from RWTH Aachen University in 2018. He holds a Bachelor of Science In Mechanical Engineering from Texas A&M University.

He works at the Center for Wind Power Drives since 2018 as a scientific researcher in the field of data analytics. His work includes applying statistics and machine learning techniques to capture more value from the large amount of multidimensional data generated by wind turbines and wind farms.

 

Publications

Source Author(s)
[Contribution to a book, Journal Article]
Sensor Screening Methodology for Virtually Sensing Transmission Input Loads of a Wind Turbine Using Machine Learning Techniques and Drivetrain Simulations
In: Sensors, 22 (10), 3659, 2022
[DOI: 10.3390/s22103659]
Azzam, Baher (Corresponding author)
Schelenz, Ralf
Jacobs, Georg
[Journal Article]
Early stage white etching crack identification using artificial neural networks
In: Forschung im Ingenieurwesen = Engineering research, 85 (2), 153-163, 2021
[DOI: 10.1007/s10010-021-00481-y]
Liu, Xiaodi
Azzam, Baher
Harzendorf, Freia (Corresponding author)
Kolb, Johann
Schelenz, Ralf
et al.
[Journal Article]
Development of a wind turbine gearbox virtual load sensor using multibody simulation and artificial neural networks
In: Forschung im Ingenieurwesen, 85 (2), 241-250, 2021
[DOI: 10.1007/s10010-021-00460-3]
Azzam, Baher (Corresponding author)
Schelenz, Ralf
Roscher, Björn
Baseer, Abdul
Jacobs, Georg
[Poster]
Development of a Wind Turbine Gearbox Virtual Sensor using Multibody Simulation and Artificial Neural Networks
In: WindEurope Offshore 2019 Copenhagen 2019-11-26 - 2019-11-28, 2019
Azzam, Baher
Baseer, Abdul
Schelenz, Ralf
Jacobs, Georg
[Contribution to a book, Journal Article]
Pattern Discovery in White Etching Crack Experimental Data Using Machine Learning Techniques
In: Applied Sciences, 9 (24), 5502, 2019
[DOI: 10.3390/app9245502]
Azzam, Baher (Corresponding author)
Harzendorf, Freia
Schelenz, Ralf
Holweger, Walter
Jacobs, Georg
[Contribution to a book, Contribution to a conference proceedings]
White Etching Crack Bearing Failure : Identification of High Risk Lubricant Compounds using Artificial Neural Networks
In: International Conference on Gears 2019, 3rd International Conference on High Performance Plastic Gears 2019, 3rd International Conference on Gear Production 2019 : Garching / Munich, Germany September 18 - 20, 2019 / VDI-Society for Product and Process Design, 569-582, 2019
Azzam, Baher
Harzendorf, Freia
Schelenz, Ralf
Jacobs, Georg
Holweger, Walter
[Contribution to a book, Contribution to a conference proceedings]
Big Data - Smart Data, analytische Datenauswertung von Betriebsdaten
In: 10. VDI-Fachtagung Schwingungen von Windenergieanlagen 2019 : Bremen, 04.-05. Juni 2019 / Fachgesellschaft VDI-GPP; Fachbereich Schwingungstechnik, 17-28, 2019
[DOI: 10.51202/9783181023464-17]
Holweger, Walter
Harzendorf, Freia
Azzam, Baher
Fliege, Jörg
[Conference Presentation]
White Etching Crack Bearing Failure : Risk Classification of Lubricants and Identification of High Risk Lubricant Compounds using Random Forests and Support Vector Machines
In: Wind Energy Science Conference 2019 Cork 2019-06-17 - 2019-06-20, 2019
Azzam, Baher
Harzendorf, Freia
Schelenz, Ralf
Holweger, Walter
Jacobs, Georg
[Contribution to a book, Contribution to a conference proceedings, Journal Article]
Manufacturing cost : a critical evaluation criteria for new developments in wind turbine drivetrain technologies
In: Journal of physics / Conference Series, 1102, 012024, 2018
[DOI: 10.1088/1742-6596/1102/1/012024]
Harzendorf, Freia (Corresponding author)
Azzam, Baher
Schelenz, Ralf
Jacobs, Georg