Kód: 20637644
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 and fault prognos ... celý popis
Angličtina
Nákupem získáte 377 bodů
Anotace knihy
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 and 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.
Parametry knihy
3767 Kč
Angličtina
Osobní odběr Praha, Brno a 46811 dalších
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