Wednesday, May 31 2023 Sign In   |    Register

News Quick Search



Front Page
Power News
Today's News
Yesterday's News
Week of May 29
Week of May 22
Week of May 15
Week of May 08
Week of May 01
By Topic
By News Partner
Gas News
News Customization


Pro Plus(+)

Add on products to your professional subscription.
  • Energy Archive News

    Home > News > Power News > News Article

    Share by Email E-mail Printer Friendly Print

    New Data-Centric Engineering Study Findings Recently Were Reported by Researchers at University of Bonn (Multi-resolution dynamic mode decomposition for damage detection in wind turbine gearboxes)

    March 24, 2023 - Information Technology Daily


      2023 MAR 23 (NewsRx) -- By a News Reporter-Staff News Editor at Information Technology Daily -- Investigators publish new report on data-centric engineering. According to news reporting out of Bonn, Germany, by NewsRx editors, research stated, “We introduce an approach for damage detection in gearboxes based on the analysis of sensor data with the multi-resolution dynamic mode decomposition (mrDMD).”

      Our news editors obtained a quote from the research from University of Bonn: “The application focus is the condition monitoring of wind turbine gearboxes under varying load conditions, in particular irregular and stochastic wind fluctuations. We analyze data stemming from a simulated vibration response of a simple nonlinear gearbox model in a healthy and damaged scenario and under different wind conditions. With mrDMD applied on time-delay snapshots of the sensor data, we can extract components in these vibration signals that highlight features related to damage and enable its identification.”

      According to the news editors, the research concluded: “A comparison with Fourier analysis, time synchronous averaging, and empirical mode decomposition shows the advantages of the proposed mrDMD-based data analysis approach for damage detection.”

      For more information on this research see: Multi-resolution dynamic mode decomposition for damage detection in wind turbine gearboxes. Data-Centric Engineering, 2023,4. The publisher for Data-Centric Engineering is Cambridge University Press.

      A free version of this journal article is available at

      Our news journalists report that additional information may be obtained by contacting Paolo Climaco, Institut fur Numerische Simulation, University of Bonn, 53115 Bonn, Germany. Additional authors for this research include Jochen Garcke, Rodrigo Iza-Teran.

      (Our reports deliver fact-based news of research and discoveries from around the world.)


    Other Articles - International


       Home  -  Feedback  -  Contact Us  -  Safe Sender  -  About Energy Central   
    Copyright © 1996-2023 by CyberTech, Inc. All rights reserved.
    Energy Central® and Energy Central Professional® are registered trademarks of CyberTech, Incorporated. Data and information is provided for informational purposes only, and is not intended for trading purposes. CyberTech does not warrant that the information or services of Energy Central will meet any specific requirements; nor will it be error free or uninterrupted; nor shall CyberTech be liable for any indirect, incidental or consequential damages (including lost data, information or profits) sustained or incurred in connection with the use of, operation of, or inability to use Energy Central. Other terms of use may apply. Membership information is confidential and subject to our privacy agreement.