Machinery Oil Analysis & Condition Monitoring
Enhanced Edition: AI-Powered Oil Analysis for Predictive Maintenance
Published on 10. June 2026
Book
Paperback/Softback
159 pages
978-94-039-0610-2 (ISBN)
Description
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.
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.
More details
Language
English
Place of publication
Netherlands
Publishing group
Mijnbestseller B.V.
Illustrations
Illustrations
Dimensions
Height: 215 mm
Width: 135 mm
Thickness: 9 mm
ISBN-13
978-94-039-0610-2 (9789403906102)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Person
Internationally Recognized Lean Expert Dr. MHA Soliman is a Lecturer in Industrial Engineering and Management Systems at the American University in Cairo, an Executive Advisor and a member of the Advisory Committee of the IEOM International Society. He brings declines of academic and consulting experience and is recognized as a leading expert in organizational performance, institutional transformation for total quality systems, and the quality of public services.
He has authorized over 100 peer-reviewed scientific publications and works as an executive consultant, author, and researcher specializing in management, continuous improvement, and service development.
He has authorized over 100 peer-reviewed scientific publications and works as an executive consultant, author, and researcher specializing in management, continuous improvement, and service development.