Data Science in Mechanical Engineering

More efficient processes, higher quality, or new digital services: The possible applications of data science in mechanical and plant engineering are as diverse as the resulting benefits. With over 10 years of experience, we are the contact for all aspects of data science for mechanical engineering.

We transform machine data into real assets and create competitive advantages for mechanical engineers based on data and algorithms. To this end, we support mechanical engineering in the implementation of analysis projects as well as in building knowledge and the appropriate technology landscape for the productive use of data science.

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A selection of the questions we have answered in our projects for mechanical and plant engineering companies:

How can predictive maintenance be achieved?

Analyzing sensor data to detect anomalies before historical failures occur, creating the opportunity to detect problems before they actually occur.

How can a new customer service be created based on data?

Development of a "health indicator" for machine condition. Customer satisfaction increases through a better understanding of the current machine status and higher system availability.

How can product quality be continuously improved?

Use of deep learning for continuous quality monitoring and early detection of defective welds based on image data.

How can production be made more efficient?

Creation of a digital twin to bundle all relevant machine information and analyze 3D models of the individual machine components.

How can the forecast of the hit rate of offers be improved?

Determination and analysis of all relevant influencing factors for a reliable prediction of the probability of closing. A tool for controlling the effort involved in preparing offers and improving sales forecasts.

How can data quality problems during operating hours be successfully resolved?

Development of an algorithm that detects structural errors in the recording of machine operating hours and corrects them appropriately. This forms the basis for further analysis steps.

Predictive Maintenance & Digital Machine Records:

How we are driving digitalization forward at our customer TRUMPF

"eoda enables us to resolve problems before they actually occur. Thanks to real-time data analysis, we reduce downtime, optimize processes, and simultaneously increase machine availability."

Marco Holzer | Head of PM & Logistik Services

“We have developed a digital machine file with eoda that helps us in service to accelerate spare parts clarifications, analyze functional enhancements […] and maintain a record of usage.”

Dr. Ulrich Faisst | Digital Transformation Officer
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Get started now:
We look forward to exchanging ideas with you.

Your expert on Data-Science-Projects:

Lutz Mastmayer
projects@eoda.de
Tel. +49 561 87948-370