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 https://doi.org/10.1017/dce.2022.34.
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.)