On-line Condition Monitoring in Industrial Lubrication and Tribology

Softcover Nachdruck of the original 1. Auflage 2018
ISBN: 978-3-319-87011-3
Verlag: Springer International Publishing

Buch, Englisch, Band 8, 227 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 382 g

Reihe: Applied Condition Monitoring

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 manufacturing, energy, oil and gas, and automotive industry.

Zielgruppe

Research

Autoren/Hrsg.

Markova, Liubou V.

Myshkin, Nikolai K.

Fachgebiete

• Technische Wissenschaften Maschinenbau | Werkstoffkunde Maschinenbau Triebwerkstechnik, Energieübertragung
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Maschinenbau Tribologie
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Produktionstechnik Zuverlässigkeitstechnik

Inhaltsverzeichnis

Introduction.- Methods and Instruments for Condition Monitoring of Lubricants.- Oil Viscosity Monitoring.- Monitoring of Water Content in Oil.- Control of Soot Concentration in Oil.- Wear Prediction for Tribosystems Based on Debris Analysis.