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Titlebook: Engineering Asset Management - Systems, Professional Practices and Certification; Proceedings of the 8 Peter W. Tse,Joseph Mathew,C.N. Ko C

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发表于 2025-3-21 17:33:37 | 显示全部楼层 |阅读模式
书目名称Engineering Asset Management - Systems, Professional Practices and Certification
副标题Proceedings of the 8
编辑Peter W. Tse,Joseph Mathew,C.N. Ko
视频video
概述Proceedings of the 8th World Congress on Engineering Asset Management & 3rd International Conference on Utility Management & Safety that was held at the Hong Kong Exhibition and Convention Centre from
丛书名称Lecture Notes in Mechanical Engineering
图书封面Titlebook: Engineering Asset Management - Systems, Professional Practices and Certification; Proceedings of the 8 Peter W. Tse,Joseph Mathew,C.N. Ko C
描述.This proceeding represents state-of-the-art trends and developments in the emerging field of engineering asset management as presented at the Eight World Congress on Engineering Asset Management (WCEAM). The Proceedings of the WCEAM 2013 is an excellent reference for practitioners, researchers and students in the multidisciplinary field of asset management, covering topics such as:.Asset condition monitoring and intelligent maintenance, 2. Asset data warehousing, data mining and fusion, 3. Asset performance and level-of-service models, 4. Design and life-cycle integrity of physical assets, 5. Deterioration and preservation models for assets, 6. Education and training in asset management, 7. Engineering standards in asset management, 8. Fault diagnosis and prognostics, 9. Financial analysis methods for physical assets, 10. Human dimensions in integrated asset management, 11. Information quality management, 12. Information systems and knowledge management, 13. Intelligent sensors and devices, 14. Maintenance strategies in asset management, 15. Optimisation decisions in asset management, 16. Risk management in asset management, 17. Strategic asset management, 18. Sustainability in as
出版日期Conference proceedings 2015
关键词Asset Management; Condition Monitoring; Intelligent Maintenance; Life Cycle Integrity Assessment; System
版次1
doihttps://doi.org/10.1007/978-3-319-09507-3
isbn_softcover978-3-319-09506-6
isbn_ebook978-3-319-09507-3Series ISSN 2195-4356 Series E-ISSN 2195-4364
issn_series 2195-4356
copyrightSpringer International Publishing Switzerland 2015
The information of publication is updating

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A Support System for Selecting the Most Suitable Spare Parts Strategy, analysis. The algorithm decision support system makers includes information about the possible scenarios in the maintenance field; moreover, this information is useful to support future strategies, helping to decide the number of the spare parts necessary to increase at the maximum process/equipmen
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A Fusion Approach with Application to Oil Sand Pump Prognostics, under adverse environment, the performances of slurry pumps are often degraded or the pump system even fails unexpectedly. Therefore, significant resources are invested in programs maintenance to avoid unscheduled downtimes and ensure that the required performance of system is maintained at the max
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Cavitation Sensitivity Parameter Analysis for Centrifugal Pumps Based on Spectral Methods,y point, centrifugal pumps are subject to conditions that may lead to vaporisation or flashing in the pipes upstream of the pump. The implosion of these vapour bubbles in the impeller or volute causes damaging effects to the pump. A new method of cavitation detection is proposed in this paper based
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Remaining Useful Life Estimation of Slurry Pumps Using the Health Status Probability Estimation Prod by the pumps include the solids as well as the liquids with different volume and hardness that make the pumps work under abrasive and erosive environment. This would cause the continuous wear of the components, especially the impeller, in the pumps. As a result, the efficiency and useful life will
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Bearing Defect Diagnosis by Stochastic Resonance Based on Woods-Saxon Potential,s a nonlinear phenomenon which is characterized by that the output signal can be enhanced with the assistance of the proper noise. The Large Parameter Bistable SR (LPBSR) method is commonly used in the bearing fault diagnosis. However, the LPBSR method requires signal tuning to satisfy the small par
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