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Predictive Maintenance in Dynamic Systems

Advanced Methods, Decision Support Tools and Real-World Applications

Edwin Lughofer; Moamar Sayed-Mouchaweh

978-3-030-05645-2

2019
Edition 1
- Covers recent developments in predictive maintenance, including basic algorithms and methods, required notions, and definitions
- Discusses problems in application domains such as on-line production lines, factories of the future, , IoT, power plants and turbines, conditioning systems, railway infrastructures, equipment and tool monitoring, and energy facilities
- Studies the links between methods and techniques as well as open challenges of predictive maintenance, addresses early fault detection, prognostics and diagnosis, and optimization and self–healing techniques for on-line decision support tools in dynamic systems
€300 €270
10% OFF

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