8 research outputs found

    Integration of Novel Sensors and Machine Learning for Predictive Maintenance in Medium Voltage Switchgear to Enable the Energy and Mobility Revolutions

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    The development of renewable energies and smart mobility has profoundly impacted the future of the distribution grid. An increasing bidirectional energy flow stresses the assets of the distribution grid, especially medium voltage switchgear. This calls for improved maintenance strategies to prevent critical failures. Predictive maintenance, a maintenance strategy relying on current condition data of assets, serves as a guideline. Novel sensors covering thermal, mechanical, and partial discharge aspects of switchgear, enable continuous condition monitoring of some of the most critical assets of the distribution grid. Combined with machine learning algorithms, the demands put on the distribution grid by the energy and mobility revolutions can be handled. In this paper, we review the current state-of-the-art of all aspects of condition monitoring for medium voltage switchgear. Furthermore, we present an approach to develop a predictive maintenance system based on novel sensors and machine learning. We show how the existing medium voltage grid infrastructure can adapt these new needs on an economic scale

    " Integrative Service Innovation: An Industrial Use Case

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    Abstract-Industrial production is evolving towards service orientation so as to enhance the manufacturing firm's competitive positioning and profit potential. This 'paradigm' shift by manufacturing towards service thinking calls for a suitable service design method and corresponding business model design to create a competitive product service system (PSS) for industrial production. However, an integrated method for innovation and business model design of a PSS is not well established nor understood. In this study an integrative innovation and business model design method, known as iSIM, is illustrated through two industrial use-cases from one coorporation to demonstrate its applicability. The results confirm the importance of integrative innovation and business model design methods and point to the applicability of the methods like iSIM in industrial settings for PSS
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