9789403906102 - Machinery Oil Analysis & Condition Monitoring: Enhanced Edition: AI-Powered Oil Analysis for Predictive Maintenance de Soliman, Mohammed Hamed Ahmed (3 resultados)

Taschenbuch. Condición: Neu. Machinery Oil Analysis & Condition Monitoring | Enhanced Edition: AI-Powered Oil Analysis for Predictive Maintenance | Mohammed Hamed Ahmed Soliman | Taschenbuch | Englisch | Mybestseller | EAN 9789403906102 | Verantwortliche Person für die EU: Bookmundo, Delftsestraat 33, 3013 AE ROTTERDAM, NIEDERLANDE, info[at]bookmundo[dot]com | Anbieter: preigu.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Maximize Equipment Reliability. Reduce Downtime.Machinery Oil Analysis & Condition Monitoring is a practical guide to improving equipment reliability through oil analysis, condition monitoring, and predictive maintenance. Learn how to detect wear, contamination, and lubricant degradation before they become costly failures.Covering oil sampling, lubricant selection, wear analysis, and condition monitoring techniques, this book also explores the latest advances in AI, machine learning, online sensors, and predictive analytics. Real-world examples and practical guidance help maintenance professionals make smarter, data-driven decisions.Whether you're a maintenance engineer, reliability professional, plant manager, or technical student, this book provides the tools needed to extend equipment life, reduce costs, and build more effective maintenance programs in today's data-driven industrial environment.Through practical examples, case studies, worksheets, and implementation guidance, readers will learn how to extend equipment life, optimize lubrication practices, improve asset performance, and build more effective reliability programs. 158 pp. Englisch.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Maximize Equipment Reliability. Reduce Downtime.Machinery Oil Analysis & Condition Monitoring is a practical guide to improving equipment reliability through oil analysis, condition monitoring, and predictive maintenance. Learn how to detect wear, contamination, and lubricant degradation before they become costly failures.Covering oil sampling, lubricant selection, wear analysis, and condition monitoring techniques, this book also explores the latest advances in AI, machine learning, online sensors, and predictive analytics. Real-world examples and practical guidance help maintenance professionals make smarter, data-driven decisions.Whether you're a maintenance engineer, reliability professional, plant manager, or technical student, this book provides the tools needed to extend equipment life, reduce costs, and build more effective maintenance programs in today's data-driven industrial environment.Through practical examples, case studies, worksheets, and implementation guidance, readers will learn how to extend equipment life, optimize lubrication practices, improve asset performance, and build more effective reliability programs.