ARDC Webinar: Using Machine Learning Methods to Predict Virtual Sensor Response on a Test Bench

3:00 PM - 4:00 PM BST on 23rd June 2020



Free to Attend ARDC Webinar

Date: 23rd June 2020

Time: 3.00PM - 4.00PM BST


The calculation of load path for vibration signals, described by accelerations, is often limited by a high implementation effort for simulation, caused by an estimation of existing non linearity e.g., or a need of a measurement campaign which is very time and cost consuming. Furthermore, component vibration tests, often using many different maneuvers to represent reliable and field equivalent load assumptions. With the usage of deep neural networks (DNN) we can simplify and accelerate the simulation and prediction of acceleration time series signals. Additionally, we estimate and compare the confidence of the measurement and the machine learning prediction to evaluate the results.


Daniel Krueter, Robert Bosch GmB
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