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Data driven solution to predictive maintenance

Chen, Xinyi (2020) Data driven solution to predictive maintenance.

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Abstract:This thesis proposes solutions to predictive maintenance in the context of industries that are in transition to industry 4.0. Several data-driven methods have been tried out and the results are compared and evaluated. As a result, we conclude that predictive maintenance using data-driven methods in industries are feasible. However, the availability of data and the selections of meaningful data are critical to the project outcome. Furthermore, the thesis has presented the challenges arises during the process due to the difference in theoretical and practical settings.
Item Type:Essay (Master)
Faculty:BMS: Behavioural, Management and Social Sciences
Subject:02 science and culture in general, 50 technical science in general, 70 social sciences in general
Programme:Industrial Engineering and Management MSc (60029)
Link to this item:https://purl.utwente.nl/essays/80408
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