Intelligent Predictive Maintenance
Produktnummer:
18da0f001f8d5841ad9e2685f027bced3b
Autor: | Li, Ling Liu, Min Yan, Feng |
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Themengebiete: | Big-data driven Fault diagnosis and prediction Intelligent predictive maintenance Large-scale maintenance service optimization &scheduling MRO service network Maintenance optimization and decision-making Maintenance repair & operation Smart factory |
Veröffentlichungsdatum: | 28.07.2024 |
EAN: | 9789819726769 |
Sprache: | Englisch |
Seitenzahl: | 468 |
Produktart: | Gebunden |
Verlag: | Springer Singapore |
Produktinformationen "Intelligent Predictive Maintenance"
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 implementation of China's new generation of intelligent manufacturing and artificial intelligence in this field.The basis of English translation of this book, originally in Chinese, was facilitated by artificial intelligence. The content was later revised by the author for accuracy.

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