Artificial Intelligence in SMEs – AI Building Blocks for Product and Process Optimization

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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.

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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?

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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.