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Titlebook: Methodologies and Techniques for Advanced Maintenance; Lorenzo Fedele Book 2011 Springer-Verlag London Limited 2011 Design.Maintenance.Man

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書目名稱Methodologies and Techniques for Advanced Maintenance
編輯Lorenzo Fedele
視頻videohttp://file.papertrans.cn/633/632144/632144.mp4
概述Presents current state of the art in maintenance management, reliability and systems complexity.Consolidates the basic theories of maintenance.Includes various case studies.Includes supplementary mate
圖書封面Titlebook: Methodologies and Techniques for Advanced Maintenance;  Lorenzo Fedele Book 2011 Springer-Verlag London Limited 2011 Design.Maintenance.Man
描述The management of technical plants for productivity and safety is generally a complex activity, particularly when many plants in one territory are affected, quality guarantees and cost results are required, and the technology involved is heterogeneous and innovative.To enable readers to manage technical plants efficiently, despite the above complications, Methodologies and Techniques for Advanced Maintenance presents theories, methodologies and practical tools for the realization of an intelligent maintenance management system for distant monitoring. It also covers the development and running of a remote control center. The so-called granted availability management system (GrAMS) was conceived to enable organizations involved in technical-industrial plant management to move towards “well known availability” and “zero failures” management.In particular, Methodologies and Techniques for Advanced Maintenance deals with the diagnostic aspects and safety levels of technical plants (such as elevators, thermo-technical plants, etc.). The author also discusses the usage of ad hoc designed software analysis tools based on neural networks and reliability indicators.Methodologies and Techniqu
出版日期Book 2011
關(guān)鍵詞Design; Maintenance; Management; Neural Networks; Telematic Maintenance Services
版次1
doihttps://doi.org/10.1007/978-0-85729-103-5
isbn_softcover978-1-4471-5723-6
isbn_ebook978-0-85729-103-5
copyrightSpringer-Verlag London Limited 2011
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Lorenzo Fedelen Geoscience and Remote Sensing 44(10): 2804–2819, 2006b) has been used for finding endmembers and was studied in Chap. 10 of Chang (Real time progressive hyperspectral image processing: endmember finding and anomaly detection, Springer, New York, 2016). It can be considered a sequential version of
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Lorenzo Fedeleeloped for its real-time and causal implementation. Rather than CEM, this chapter focuses on passive hyperspectral target detection and investigates a commonly used passive target detection technique, anomaly detection (AD), especially for real-time and causal processing capabilities that are develo
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Lorenzo Fedele a rising number of control strategies for vehicle dynamics that rely on driving conditions. Road profiles, as the primary excitation source of vehicle systems, play a critical role in vehicle dynamics and also in public transportation. Knowledge of precise road conditions can thus be of great assis
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