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Titlebook: Intelligent Predictive Maintenance; Min Liu,Ling Li,Feng Yan Book 2024 Chemical Industry Press 2024 Maintenance optimization and decision-

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發(fā)表于 2025-3-21 19:24:56 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Intelligent Predictive Maintenance
編輯Min Liu,Ling Li,Feng Yan
視頻videohttp://file.papertrans.cn/477/476201/476201.mp4
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
叢書名稱Advanced and Intelligent Manufacturing in China
圖書封面Titlebook: Intelligent Predictive Maintenance;  Min Liu,Ling Li,Feng Yan Book 2024 Chemical Industry Press 2024 Maintenance optimization and decision-
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
關(guān)鍵詞Maintenance optimization and decision-making; Maintenance repair & operation; MRO service network; Big-
版次1
doihttps://doi.org/10.1007/978-981-97-2677-6
isbn_softcover978-981-97-2679-0
isbn_ebook978-981-97-2677-6Series ISSN 2731-5983 Series E-ISSN 2731-5991
issn_series 2731-5983
copyrightChemical Industry Press 2024
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發(fā)表于 2025-3-21 23:24:46 | 只看該作者
Introduction,s and analyzes MRO data to realize intelligent services such as fault prediction, maintenance optimization, and decision-making for equipment operation and maintenance networks. This chapter mainly introduces intelligent predictive maintenance, maintenance strategies, and the content of this book.
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發(fā)表于 2025-3-22 00:44:02 | 只看該作者
Book 2024data, 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 t
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Data-Driven Fault Prediction Model and Methods,tion, etc., this chapter mainly discusses the fault prediction model based on quantum multi-agent neural networks, fault prediction models based on machine learning, and fault prediction models based on deep learning, and other data-driven theories and methods of equipment fault prediction.
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發(fā)表于 2025-3-22 14:11:21 | 只看該作者
Min Liu,Ling Li,Feng Yand in 1919, which led to the publication of her first collection of short stories, .. The Hollywood studio Goldwyn immediately noticed her potential, paying generously for the film rights to her work and also hiring her as a scriptwriter. Goldwyn’s tremendous publicity campaign made Yezierska an over
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