HANNOVER MESSE 2019, 01 - 05 April
Homepage>Conference program >Deep learning for predictive maintenance - A case study
Forum Motion & Drives

Deep learning for predictive maintenance - A case study

Location & Language

Hall 23, Stand B20

Language

German

Event Details

Type of event

Lecture

Topic

Industrie 4.0, Integrated Automation, Motion & Drives, Predictive Maintenance

Event series

Forum Motion & Drives

Session

Predictive Maintenance

Event Host

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Description

In a multi device system with interdependencies predictive maintenance quickly becomes very complex with respect to technological implementation and algorithmic representation. In this talk we want to present an application of deep learning methods on edge devices to differentiate different kinds of vibration behaviours. We will address methodical and technical aspects.

Speaker

 PhD Marko Petzold

PhD Marko Petzold

CEO, Record Evolution GmbH

Marko finished his studies with a phd in mathematics and kept his love for theoretical challenges ever since. He learned the data craft as consultant and later was responsible for modelling project ...

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