Armin Geisler and Alexander Smalla

PreSense – AI-based Predictive Maintenance at SENEC


In order to improve product quality, SENEC GmbH has launched a project to establish a Predictive maintenance system. Based on frequently repeating failure patterns and reasons for and reasons for failure in electricity storage systems, the underlying assumption is that these patterns can be predicted using statistical analysis and AI methods, these patterns can be predicted to a certain extent. In order to fully undertake this research, SENEC is collaborating with IT-Sonix GmbH together.
In the presentation we would like to introduce the technical approach and inform about the current status of the project.

Portrait of Armin Geisler

Armin Geisler

Senior Business Analyst

SENEC GmbH,

a.geisler@senec.com

Bio Armin Geisler

2009 – 2013: Study International Business Management Studies, Hanzehogeschool Groningen, Degree: Bachelor of Business Administration

2013 – 2014: Project Management Trainee, Festool Group GmbH & Co. KG, support and further development of the CRM system “TTS-Connect”.

2014 – 2015: Study of International Accounting, University of Strathclyde Glasgow, Degree: Master of Science

2015 – 2017: M&A Analyst, Translink Corporate Finance, execution and analysis of M&A transactions

2017 – 2020: Global Business Analyst, Konica Minolta Business Solutions Europe, Implementation of a pan-European BIS structure with dashboards, analytics and data science projects

Since 2021: Senior Business Analyst, SENEC GmbH, establishment of the BI area within SENEC, Management of the “PreSense” project

Portrait of Alexander Smalla

Alexander Smalla

Data Analyst

SENEC GmbH, Leipzig, Germany

Bio

2004 – 2010: Studies of Meteorology, University of Leipzig, Degree: Diplom.

2011 – 2013: Research associate, Deutscher Wetterdienst – support of worldwide users of the German weather forecast model Cosmo

2013 – 2021: Research Associate, Center for Geoinformation of the German Armed Forces – Technical support of worldwide Bundeswehr missions with weather model forecasts

Since 2021: Data Analyst, Senec GmbH – Automation of statistical evaluations of company-wide complaints, establishment of the predictive maintenance system “PreSense”

TU
Universität
Max
Leibnitz-Institut
Helmholtz
Hemholtz
Institut
Fraunhofer-Institut
Fraunhofer-Institut
Max-Planck-Institut
Institute
Max-Plank-Institut