Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/17575
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dc.contributor.advisorPandhare, Vibhor-
dc.contributor.authorGajula, Thummala Manoj Krishna-
dc.date.accessioned2025-12-29T10:00:08Z-
dc.date.available2025-12-29T10:00:08Z-
dc.date.issued2025-06-09-
dc.identifier.urihttps://dspace.iiti.ac.in:8080/jspui/handle/123456789/17575-
dc.description.abstractThe manufacturing sector has experienced a revolutionary shift in the last few decades, transforming from established, mechanized production systems to highly connected digital networks of advanced technology. The key to this revolution is the digitalization of physical systems, processes, and assets, a paradigm shift that has transformed the way industries design, produce, monitor, and maintain. Industry 4.0 is defined by the shift to the Internet of Things (IoT), artificial intelligence (AI), machine learning, big data analytics, cloud computing, and industrial robotics. Central to this revolution is the Digital Twins concept. Digital Twin technology has been widely applied across many industrial sectors. and that says a lot about how multifaceted and revolutionary it is. In manufacturing, Digital Twins allow for predictive maintenance by continuously monitoring the health of equipment and forecasting potential failures ahead of time, so there is reduced unplanned downtime and maintenance expense.en_US
dc.language.isoenen_US
dc.publisherDepartment of Mechanical Engineering, IIT Indoreen_US
dc.relation.ispartofseriesMT444;-
dc.subjectMechanical Engineeringen_US
dc.titleCollaborative platform for standardized digital twin development for asset life cycle managementen_US
dc.typeThesis_M.Techen_US
Appears in Collections:Department of Mechanical Engineering_ETD

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