书目名称 | Intelligent Predictive Maintenance | 编辑 | Min Liu,Ling Li,Feng Yan | 视频video | | 概述 | Deeply discusses the models and methods of data driven fault diagnosis and prediction.Introduces the theory, model and framework of intelligent predictive maintenance in detail.Preliminarily discusses | 丛书名称 | Advanced and Intelligent Manufacturing in China | 图书封面 |  | 描述 | .In the field of equipment/product operation and maintenance (O&M) services, the new generation of information technologies such as the internet, big data, and artificial intelligence are deeply integrated with O&M services to form an internet-based Maintenance Repair & Operation (MRO) service network and an intelligent service environment. To deal with the uncertainties of multiple collaborative entities and highly random equipment failures in the large-scale MRO network, this book establishes the theory, technology, and methods of Intelligent Predictive Maintenance (IPdM) for the MRO service network through the study of high-quality acquisition and integration of multi-source heterogeneous data, data-driven equipment fault diagnosis and prediction, large-scale maintenance decision-making, feedback, and control. The book systematically elaborates on the emerging theories, technologies, and methods in the field of equipment/product O&M services, covering a wide range of topics with rich contents. It emphasizes both systematic and scientific approaches as well as practicality. It offers both comprehensive and specialized discussions to reflect the strategic deployment and implementa | 出版日期 | Book 2024 | 关键词 | Maintenance optimization and decision-making; Maintenance repair & operation; MRO service network; Big- | 版次 | 1 | doi | https://doi.org/10.1007/978-981-97-2677-6 | isbn_softcover | 978-981-97-2679-0 | isbn_ebook | 978-981-97-2677-6Series ISSN 2731-5983 Series E-ISSN 2731-5991 | issn_series | 2731-5983 | copyright | Chemical Industry Press 2024 |
The information of publication is updating
|
|