UNLOCKING
UNUSED POTENTIAL

INTELLIGENTLY SUPPLEMENT
INSTEAD OF RESTRUCTURING

ACHIEVE COMPETITIVE
ADVANTAGE

WHERE SHALL WE START?


The goal is to strengthen and expand your core competencies through artificial intelligence. In most cases the foundation already exists, usually in the form of rudimentarily used “data treasures”. When it comes to implementation, what is needed first is engineering expertise rather than a major investment turning half the company inside out.

At the start it is important to find out where previous solutions have reached their limits and where AI or machine learning can offer additional benefits. Such areas of application are usually found across the entire value chain. Where the greatest potential lies usually becomes clear in a direct exchange between your company's subject matter experts and our AI specialists. Once the goal has been determined, the actual project begins:

YOUR AI PROJECT IN 5 STEPS:

PRACTICAL EXAMPLES

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Using AI, we innovatively optimized the functioning of our product SHM.Foundation and gained an advantage over our competitors. To do this, we used the existing sensor technology and database, which meant that no major investments or fundamental new developments were necessary.

PRACTICAL EXAMPLES

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Freight or passenger cars are increasingly equipped with extensive sensor technology. We analyze the vibration data and use AI models in addition to classic, rule-based programming. For example, the recorded impact data can be traced back to its origin (classification) and the damage potential can be determined. The wagon can be serviced on time and a service life file can be created. We answer questions such as: Where and why did damage occur to my wagon? Where are the hotspots in my infrastructure? Where and why was my load damaged?

PRACTICAL EXAMPLES

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If mechanical and acoustic vibration signals are collected in addition to the process data already recorded, artificial intelligence can be used to reduce operating and maintenance costs and improve product and process quality. For example, an increased vibration level indicates increased wear, while noticeable acoustics are indicative of a faulty, recurring process (e.g., impact monitoring of a punch press). With learned AI models, even the smallest deviations are detected.

Please contact us personally

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Based on our own experience, we help other SMEs to leverage "data treasures" for cost and product optimization with the help of AI.

Dr.-Ing. Manuel Eckstein
Engineering Director

+49 931 49708-290
eckstein@woelfel.de
Formular

Bernhard Huber – Wölfel-Gruppe

Bernhard Huber
KI-Specialist

+49 931 49708-295
huber@woelfel.de
Formular