AI PREDICTIVE MAINTENANCE FOR ENGINEERS: Real-World Techniques for Fault Detection, Condition Monitoring, and Intelligent Asset Management
by Josh Raymond
This book delivers real-world AI techniques for engineers focused on predictive maintenance. It covers fault detection, condition monitoring, and intelligent asset management to improve system reliability and operational efficiency in engineering applications.
About This Book
AI Predictive Maintenance for Engineers introduces real-world techniques tailored for professionals in engineering fields. The content emphasizes the application of artificial intelligence to predict and prevent equipment failures through systematic monitoring.
Key areas covered include fault detection methods that leverage AI algorithms to identify issues early. Condition monitoring is explored as a core practice, enabling ongoing assessment of asset health without invasive procedures.
The book also addresses intelligent asset management, offering strategies to optimize maintenance schedules and resource allocation using predictive insights. It serves as a practical guide for implementing these technologies in industrial settings.
Engineers will find the material grounded in practical examples, making complex AI concepts accessible for everyday use in maintenance operations.
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