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    Johannes Weinert

    Schreibt derzeit seine Masterarbeit im Bereich Condition Monitoring.

    Johannes Weinert is an engineer working in the automotive sector at HOERBIGER, focusing on artificial intelligence (AI) and machine learning integration in production and development processes.1 He trained as a mechatronics engineer at HOERBIGER and completed a master's degree in automation and robotics.1

    Weinert's primary goal is to use innovative AI solutions to make production processes more profitable while improving product quality and sustainability.1 He leads a team working on several AI projects, including:

    1. AI-supported production of bursting membranes for battery technology
    2. AI-controlled tool break detection in manufacturing machines

    One of his team's successful implementations has reduced the number of missing parts per tool break from 100 to just three, significantly reducing waste and improving efficiency.1

    Weinert believes that AI has immense potential in manufacturing, stating that it will help produce more accurately, precisely, sustainably, quickly, and competitively in the future.1 He also sees AI as a support for human workers, freeing them from monotonous, tedious, or dangerous tasks.1

    In addition to his work at HOERBIGER, Weinert is involved in promoting young talents and has presented to audiences at Hochschule für angewandte Wissenschaften.23

    Related Questions

    What specific AI projects is Johannes Weinert currently working on?
    How has AI impacted production costs and quality at HOERBIGER?
    What is the significance of the bursting membrane in battery technology?
    How does AI help in detecting tool breaks on machines?
    What are the future plans for AI integration at HOERBIGER?
    Johannes Weinert
    Johannes Weinert, photo 1
    Johannes Weinert, photo 2
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    Location

    Augsburg, Bavaria, Germany