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Titlebook: On-line Condition Monitoring in Industrial Lubrication and Tribology; Nikolai K. Myshkin,Liubou V. Markova Book 2018 The Editor(s) (if app

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發(fā)表于 2025-3-21 18:49:33 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)On-line Condition Monitoring in Industrial Lubrication and Tribology
編輯Nikolai K. Myshkin,Liubou V. Markova
視頻videohttp://file.papertrans.cn/702/701333/701333.mp4
概述Focuses on monitoring techniques used in industrial lubrication and tribology.Offers a review of existing methods for the condition monitoring of lubricated tribosystems in machinery.Reports on novel
叢書(shū)名稱(chēng)Applied Condition Monitoring
圖書(shū)封面Titlebook: On-line Condition Monitoring in Industrial Lubrication and Tribology;  Nikolai K. Myshkin,Liubou V. Markova Book 2018 The Editor(s) (if app
描述.This book offers readers a concise yet comprehensive introduction to a set of diagnostic methods for on-line condition monitoring of lubricated tribosystems used in industry. It covers the latest trends in on-line tribodiagnostics, an important and rapidly developing area of tribology. The book also reports on new tools as they have been developed and applied by the authors. A special emphasis is given to the physical fundamentals of opto-magnetic detectors, ferro-analyzers and analyzers of metal particles in lubricated tribosystems, as well as fluorescence methods for real-time oil monitoring in compressors, hydraulic systems and electrical transformers. ..Further, the book discusses other important issues such as the monitoring of water content in oil, and presents techniques for measuring soot content in oil in diesel engine oils. Lastly, it describes the modular intelligent (SMART) diagnostic system for vehicles. Mainly intended for researchers, industrial and automotive engineers developing cost-effective techniques and sensors for the on-line monitoring of lubricating oil, the book also offers a valuable source of information for students and project managers in the manufact
出版日期Book 2018
關(guān)鍵詞On-line Condition Monitoring; Wear Prediction; Debris Analysis; Real-time Diagnostics; Oil Degradation; M
版次1
doihttps://doi.org/10.1007/978-3-319-61134-1
isbn_softcover978-3-319-87011-3
isbn_ebook978-3-319-61134-1Series ISSN 2363-698X Series E-ISSN 2363-6998
issn_series 2363-698X
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Oil Viscosity Monitoring,sensors based on acoustic waves, magnetoelastic viscosity sensors are considered; they operate at lower frequencies. Both piezoelectric and magnetoelastic types of the on-line acoustic viscometers have proved to be promising in the real-time monitoring of lubricating oils.
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發(fā)表于 2025-3-22 07:19:21 | 只看該作者
2363-698X ng of lubricated tribosystems in machinery.Reports on novel .This book offers readers a concise yet comprehensive introduction to a set of diagnostic methods for on-line condition monitoring of lubricated tribosystems used in industry. It covers the latest trends in on-line tribodiagnostics, an impo
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Wear Prediction for Tribosystems Based on Debris Analysis,erromagnetic particles under the effect of magnetic field. OMD has been used in wear monitoring of industrial air compressor system for two years and it was found very sensitive to failure of the gear unit and metal bearings presenting earlier information on severe wear of friction units than vibrat
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Book 2018diagnostic system for vehicles. Mainly intended for researchers, industrial and automotive engineers developing cost-effective techniques and sensors for the on-line monitoring of lubricating oil, the book also offers a valuable source of information for students and project managers in the manufact
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發(fā)表于 2025-3-23 08:29:47 | 只看該作者
nn. Mit der vorliegenden Arbeit zeigt Frau Carrara, was durch die Verwaltungsreform "Neues Steuerungsmodell" bisher erreicht worden ist, und wie die Tragf?higkeit des Neuen Steuerungsmodells erh?ht werden kann. Um den bisherigen Erfolg der Verwaltungsreform "Neues Steuerungsmodell" absch?tzen zu k?n
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