micromobility expo 2019, 02 - 04 May
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Forum Motion & Drives

Data analytics as a basis for predictive maintenance

How to harness limited available data to rpovid

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Hall 23, Stand B20



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Industrie 4.0, Integrated Automation, Motion & Drives

Event series

Forum Motion & Drives


Predictive Maintenance

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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.


  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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