Data driven framework for real-time machine learning based prediction on engine vibration sensory data

Please use this identifier to cite or link to this item: https://dr.ddn.upes.ac.in//xmlui/handle/123456789/3302

Full metadata record

DC Field	Value	Language
dc.contributor.author	Goswami, Ojasvi	-
dc.date.accessioned	2021-04-23T12:14:58Z	-
dc.date.available	2021-04-23T12:14:58Z	-
dc.date.issued	2016-04	-
dc.identifier.citation	Under the guidance of Prof. Visbal Kaushik	en_US
dc.identifier.uri	http://hdl.handle.net/123456789/3302	-
dc.description	Submitted in partial fulfillment for the requirement of the degree of M. Tech (Artificial Intelligence and Artificial Neural Networks)	en_US
dc.language.iso	en	en_US
dc.publisher	Centre for Information Technology, UPES, Dehradun	en_US
dc.subject	Dissertation	en_US
dc.subject	Information Technology	en_US
dc.subject	Artificial Intelligence	en_US
dc.subject	Artificial Neural Network	en_US
dc.subject	Computer Science	en_US
dc.subject	Vibration Analysis	en_US
dc.subject	Condition Monitoring Program	en_US
dc.subject	Predictive Maintenance	en_US
dc.subject	Machine Learning Techniques	en_US
dc.title	Data driven framework for real-time machine learning based prediction on engine vibration sensory data	en_US
dc.type	Thesis	en_US
Appears in Collections:	Post Graduate

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