Electronic Resource

Predictive Maintenance in Dynamic Systems

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Penilaian

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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.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
1908001802	EB0002436	658.202 Pre	Central Library	Available

Detail Information

Series Title

-

Call Number

658.202 Pre

Publisher

Switzerland : Springer Cham., 2019

Collation

xiii, 567p.:Ill

Language

English

ISBN/ISSN

978-3-030-05645-2

Classification

658.202

Content Type

Ebook

Media Type

-

Carrier Type

online resource

Edition

1

Subject(s)

Plant Maintenance

Specific Detail Info

-

Statement of Responsibility

BRF

Other version/related

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