| 书目名称 | IMPROVE - Innovative Modelling Approaches for Production Systems to Raise Validatable Efficiency |
| 副标题 | Intelligent Methods |
| 编辑 | Oliver Niggemann,Peter Schüller |
| 视频video | http://file.papertrans.cn/461/460294/460294.mp4 |
| 概述 | Provides engineering-lean, unsupervised methods that scale in realistic scenarios.Helps to improve reliability and efficiency of complex systems.Presents examples and results from real factories and r |
| 丛书名称 | Technologien für die intelligente Automation |
| 图书封面 |  |
| 描述 | This 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.. |
| 出版日期 | Book‘‘‘‘‘‘‘‘ 2018 |
| 关键词 | Factory Automation; Machine reliability and efficiency; Cyber-physical systems; Machine Learning; Simula |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-662-57805-6 |
| isbn_softcover | 978-3-662-57804-9 |
| isbn_ebook | 978-3-662-57805-6Series ISSN 2522-8579 Series E-ISSN 2522-8587 |
| issn_series | 2522-8579 |
| copyright | The Editor(s) (if applicable) and The Author(s) 2018 |