Search Results for author: Rodrigo Iza-Teran

Found 4 papers, 0 papers with code

Multi-resolution Dynamic Mode Decomposition for Damage Detection in Wind Turbine Gearboxes

no code implementations8 Oct 2021 Paolo Climaco, Jochen Garcke, Rodrigo Iza-Teran

We introduce an approach for damage detection in gearboxes based on the analysis of sensor data with the multi-resolution dynamic mode decomposition (mrDMD).

Analysis and Prediction of Deforming 3D Shapes using Oriented Bounding Boxes and LSTM Autoencoders

no code implementations31 Aug 2020 Sara Hahner, Rodrigo Iza-Teran, Jochen Garcke

For sequences of complex 3D shapes in time we present a general approach to detect patterns for their analysis and to predict the deformation by making use of structural components of the complex shape.

A Compact Spectral Descriptor for Shape Deformations

no code implementations10 Mar 2020 Skylar Sible, Rodrigo Iza-Teran, Jochen Garcke, Nikola Aulig, Patricia Wollstadt

The proposed descriptor provides a novel approach to the parametrization of geometric deformation behavior and enables the use of state-of-the-art data analysis techniques such as machine learning to engineering tasks concerned with plastic deformation behavior.

BIG-bench Machine Learning

Unsupervised Learning of Automotive 3D Crash Simulations using LSTMs

no code implementations ICLR 2020 Amin Abbasloo, Jochen Garcke, Rodrigo Iza-Teran

Long short-term memory (LSTM) networks allow to exhibit temporal dynamic behavior with feedback connections and seem a natural choice for learning sequences of 3D meshes.

Video Prediction

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