Intelligent machinery fault diagnostics and prognostics : the future of smart manufacturing /

"The field of machinery maintenance is undergoing a remarkable transformation, driven by the convergence of intelligent technologies and data-driven approaches. This book delves into the fascinating world of intelligent machinery fault diagnostics and prognostics, exploring how these advancemen...

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Bibliographic Details
Corporate Author:	Taylor & Francis
Other Authors:	Goyal, Deepam (Editor), Sharma, Ankit (Professor of mechanical engineering) (Editor), Abou Houran, Mohamad (Editor)
Format:	eBook
Language:	English
Published:	Boca Raton FL : CRC Press, 2025.
Edition:	First edition.
Series:	Innovations in smart manufacturing for long-term development and growth series.
Subjects:	Machinery > Maintenance and repair > Case studies. Fault location (Engineering) > Case studies. Machinery > Monitoring > Case studies. Machinery > Reliability > Case studies. Artificial intelligence > Industrial applications > Case studies. Machines > Entretien et réparations > Études de cas. Détection de défaut (Ingénierie) > Études de cas. Machines > Surveillance > Études de cas. Machines > Fiabilité > Études de cas. Intelligence artificielle > Applications industrielles > Études de cas. Electronic books.
Online Access:	Connect to the full text of this electronic book

Description
Summary:	"The field of machinery maintenance is undergoing a remarkable transformation, driven by the convergence of intelligent technologies and data-driven approaches. This book delves into the fascinating world of intelligent machinery fault diagnostics and prognostics, exploring how these advancements are reshaping the way we monitor, diagnose, and predict faults in machinery"-- Provided by publisher.
Physical Description:	1 online resource
Bibliography:	Includes bibliographical references.
ISBN:	9781040339541 1040339549 9781003480822 1003480829 9781040339558 1040339557