AI Predictive Maintenance for Engineers: Real-World Techniques for Fault Detection, Condition Monitoring, and Intelligent Asset Management

Author:   Josh Raymond
Publisher:   Independently Published
ISBN:  

9798278618294


Pages:   154
Publication Date:   13 December 2025
Format:   Paperback
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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AI Predictive Maintenance for Engineers: Real-World Techniques for Fault Detection, Condition Monitoring, and Intelligent Asset Management


Overview

Unplanned downtime is costly-and reactive maintenance is no longer enough. AI Predictive Maintenance for Engineers is a practical, engineering-focused guide to using artificial intelligence and data-driven techniques to detect failures early, monitor asset health, and optimize maintenance strategies before problems occur. Written for real-world industrial environments, this book bridges the gap between traditional maintenance practices and modern AI-powered approaches. It focuses on practical implementation, not theory-showing engineers how to apply predictive maintenance techniques across manufacturing, energy, utilities, transportation, and industrial systems. What You'll Learn✔ The fundamentals of predictive maintenance and why it outperforms reactive and preventive approaches ✔ How AI and machine learning detect faults, anomalies, and degradation patterns ✔ Techniques for condition monitoring using sensor data, time-series signals, and operational metrics ✔ Feature extraction and data preparation for maintenance models ✔ Common algorithms used in predictive maintenance and when to apply them ✔ Designing maintenance workflows that reduce downtime and maintenance costs ✔ Integrating predictive models into existing industrial and asset management systems ✔ Interpreting model outputs for engineering decision-making ✔ Real-world use cases and implementation patterns from industrial settings Who This Book Is For Mechanical, electrical, and industrial engineers Maintenance and reliability engineers Asset managers and operations professionals Data engineers working in industrial environments Engineering students preparing for modern industry roles Why This Book WorksMany AI books stay abstract. This one is grounded in engineering reality-focused on equipment, sensors, systems, and decisions that matter on the plant floor. Every concept is explained clearly, with emphasis on actionable techniques, practical trade-offs, and deployable solutions. By the end of this book, you'll be able to design and implement predictive maintenance systems that improve reliability, extend asset life, and deliver measurable operational value. If you're ready to move from reactive maintenance to intelligent, AI-driven asset management, AI Predictive Maintenance for Engineers is your complete, practical guide.

Full Product Details

Author:   Josh Raymond
Publisher:   Independently Published
Imprint:   Independently Published
Dimensions:   Width: 14.00cm , Height: 0.80cm , Length: 21.60cm
Weight:   0.187kg
ISBN:  

9798278618294


Pages:   154
Publication Date:   13 December 2025
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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