Oliver Niggemann, Peter Schüller (editors)Peter Schüller (editors)Oliver Niggemann2023-06-152023-06-1520189783662578056https://repository.vlu.edu.vn/handle/123456789/5359https://doi.org/10.1007/978-3-662-57805-6DOI: https://doi.org/10.1007/978-3-662-57805-6 License: CC BY; Publisher: SpringerThis open access work presents selected results from the European research and innovation project IMPROVE which yielded novel data-based solutions to enhance machine reliability and efficiency in the fields of simulation and optimization, condition monitoring, alarm management, and quality prediction. This work is licensed under a CC BYen"Factory AutomationMachine reliability and efficiencyCyber-physical systemsMachine LearningSimulation & optimizationCondition monitoringAlarm managementQuality predictionLean EngineeringOpen Accessquality controlreliabilitysafety and risk"Resource Types::text::book