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