“Using data science methods and background physics knowledge, we extract relevant information from measurements and simulations to ensure that your analyses generate real added value.”

Erik Haenel
Senior Consultant & Head of Analytics / Sensorics

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Analytics & Sensorics

The entire process of scientific knowledge acquisition is covered by the Center of Excellence Analytics & Sensorics. It is divided into the four subject areas of measurement technology & sensorics, predictive maintenance, modeling & simulation, and statistics & data analysis. It can therefore be placed chronologically between basic research and prototype development.

Our profound knowledge in measurement technology and data analysis enables us to provide efficient and precise solutions for challenges in statistics, sensor technology, and physical modeling. Our multidisciplinary approach allows us to think outside the box and thus generate added value.


Modeling & Simulation

The project group Modeling & Simulation is concerned with the mathematical-physical simulation of models. The focus is on the scientific aspect, i.e., investigating mathematical models, including partial differential equations and ordinary differential equations.

In cooperation with the customer, we model physical systems and support our customers to understand them better. Modeling a system can also help reduce prototyping costs, show potential in the design, and assist in troubleshooting.

Measurement & Sensoric

The Measurement Technology & Sensor Technology team is concerned with designing sensor systems and measurement procedures. Thereby, physical knowledge serves to solve our customers’ challenges regarding physical properties and convert them into relevant digital data.

The team develops innovative solutions for optimization in manufacturing (Industry 4.0), innovative technologies such as Smart Key or Smart City, and data connectivity to achieve a networked future. We support our customers in digitizing their sensor systems and identifying possible sources of error in the measurement system.

Statistics & Data Analysis

The project team Statistics & Data Analysis goal is to develop knowledge and expertise in statistics, algorithms, and data analysis. Furthermore, best practices for data visualization will be created.

Internally we work as a think tank for statistics and data analysis. We enable our clients to better understand themselves by analyzing their data and extracting hidden information. An in-depth parameter analysis allows us to identify previously unknown relationships with the customer.

Predictive Maintenance

Predictive Maintenance is concerned with the condition monitoring of production machines and, based on this, the prediction of damage events. This is intended to increase reliability, improve maintenance planning and save costs. In addition, transparent condition monitoring allows better control of production. The main tasks are data collection and preprocessing, statistics, machine learning, and modeling to find and validate use cases. However, implementing the found use cases in a production system is also adjacent.

Do you have questions about Analytics & Sensorics, or are you considering hiring external support?

Please feel free to contact me at any time. Click on the button below and easily choose a time slot so that we can discuss your project without obligation and free of charge.

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Erik Hänel

Erik Hänel
Head of Analytics & Sensorics