Predictive Maintenance in Dynamic Systems: Advanced Methods, Decision Support Tools and Real-World Applications
$136.50
Description
Book Synopsis: This book provides a complete picture of several decision support tools for predictive maintenance. These include embedding early anomaly/fault detection, diagnosis and reasoning, remaining useful life prediction (fault prognostics), quality prediction and self-reaction, as well as optimization, control and self-healing techniques. It shows recent applications of these techniques within various types of industrial (production/utilities/equipment/plants/smart devices, etc.) systems addressing several challenges in Industry 4.0 and different tasks dealing with Big Data Streams, Internet of Things, specific infrastructures and tools, high system dynamics and non-stationary environments . Applications discussed include production and manufacturing systems, renewable energy production and management, maritime systems, power plants and turbines, conditioning systems, compressor valves, induction motors, flight simulators, railway infrastructures, mobile robots, cyber security and Internet of Things. The contributors go beyond state of the art by placing a specific focus on dynamic systems, where it is of utmost importance to update system and maintenance models on the fly to maintain their predictive power.
Details
Looking to optimize maintenance in your dynamic systems? Look no further than our book: "Predictive Maintenance in Dynamic Systems: Advanced Methods, Decision Support Tools and Real-World Applications." Packed with cutting-edge techniques, this book provides a complete picture of decision support tools for predictive maintenance.
Imagine embedding early anomaly/fault detection, diagnosis, and reasoning into your systems. With our book, you'll gain insights into remaining useful life prediction, quality prediction, and self-reaction strategies. Not only that, but you'll also learn optimization, control, and self-healing techniques to keep your systems running smoothly.
Industry 4.0 presents unique challenges, and our book addresses these head-on. We delve into Big Data Streams, Internet of Things, specific infrastructures and tools, high system dynamics, and non-stationary environments. No matter your industry – be it production, renewable energy, maritime, power plants, or more – you'll discover real-world applications of these techniques.
What sets us apart is our focus on dynamic systems. We understand the importance of updating system and maintenance models on the fly to maintain their predictive power. Count on our book to provide you with the latest insights and practical examples in dynamic system maintenance.
Ready to revolutionize your maintenance practices? Get your copy of "Predictive Maintenance in Dynamic Systems" today to gain a competitive edge in the ever-evolving world of industry maintenance. Click here to order.
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