Predictive Maintenance in Smart Factories: Architectures, Methodologies, and Use-cases

Predictive Maintenance in Smart Factories: Architectures, Methodologies, and Use-cases

Tania Cerquitelli , Nikolaos Nikolakis , Niamh O’Mahony
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2021 · Englisch · Kindle
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Beschreibung

Focused on the intersection of technology and industry, this work explores the innovative field of predictive maintenance within smart factories. Contributors from various expert backgrounds share their insights, drawn from a significant European project, which highlights collaborative efforts and diverse methodologies.

Readers will discover an array of architectures that serve as the backbone for predictive maintenance systems, along with practical case studies that showcase real-world applications. The engaging narratives behind these use cases breathe life into the theoretical frameworks, demonstrating how smart factories can optimize efficiency and minimize downtime through foresight and innovation.

Through its comprehensive analysis and applicable insights, this book serves as a valuable resource for professionals and researchers alike, eager to navigate the complexities of modern manufacturing landscapes. It invites its audience to rethink maintenance strategies, ultimately fostering a deeper understanding of the potential that predictive maintenance holds in transforming industry practices.

Buchdetails

Format Kindle
Seiten 250 Seiten
Sprache Englisch
Veröffentlicht Aug 26, 2021
Verlag Springer
ISBN-10 9811629404
ISBN-13 9789811629402
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