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HANNOVER MESSE 2019, 01 - 05 April
Homepage>Conference program >Data analytics as a basis for predictive maintenance
Forum Motion & Drives

Data analytics as a basis for predictive maintenance

How to harness limited available data to rpovid

Location & Language

Hall 23, Stand B20

Language

English

Event Details

Type of event

Lecture

Topic

Industrie 4.0, Integrated Automation, Motion & Drives

Event series

Forum Motion & Drives

Session

Predictive Maintenance

Event Host

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Description

Malfunctions on critical equipment are costly. The gathered data can help avoid these. There are many approaches available in the market, e.g. simple data visualization, data trending, rule-based alerting or advanced analytical tools.One such approach is to prognosticate the equipment’s Remaining Useful Life (RUL). However, many an engineer wonders whether sufficient data is available from their critical equipment. To start with, we always work with the data companies are already gathering. Of course, there are cases where this is not sufficient. But these situations are rare. On the contrary, in most cases even seemingly unsuitable data can be manipulated in such a way that it becomes useful.We will present practical examples where RUL prognoses on seemingly unfit data generated benefits.

Speaker

  Moritz von Plate

Moritz von Plate

CEO, Cassantec GmbH

Since 2013: CEO at Cassantec

2007 – 2012: CFO at Solarlite

2000 – 2007: Manager at The Boston Consulting Group (BCG)

MBA, Georgetown University

Master Agricultural ...

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