Applications of Deep Learning for Signal Analysis

Applications of Deep Learning for Signal Analysis

Overall project:
Project leader:
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Start date: 1. July 2018
End date: 30. June 2021
Extended: 30. November 2021
Funding source: Industrie

Abstract

Drivetrain technology companies are presented to the emerging challenge to meet the comprehensive demands of modern systems by consolidating the competencies of the latest developments in the field of machine learning. The efforts for Schaeffler to establish those competencies are easier to accomplish by including a strong research partner. This partner for the given project will be the Machine Learning and Data Analytics Lab of the FAU. As a result of this project Schaeffler and the business unit obtain methodological competences in general as well as new approaches of deep learning algorithms for signal analysis in particular.