Fault Prediction of an Actuator or Sensor of a Satellite

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dc.contributor.authorGIREESH GANAPATI, GAONKAR
dc.contributor.authorGOKUL VIHARI, KODURU
dc.contributor.authorH.S., SUMANTH
dc.contributor.authorK.S., SHASHANK
dc.date.accessioned2018-06-19T09:12:37Z
dc.date.available2018-06-19T09:12:37Z
dc.date.issued2018-06-19T09:12:37Z
dc.description.abstractThis paper will fortify the existing hardware by predicting the fault in the reaction wheel. Reaction wheels present in the AOCS may fail over the time, mainly due to friction. We collect the data from satellite and use bigdata analytics and statistical measures to extract the new insights and regression analysis is performed which is a part of machine learning and predict behaviour of the parameters. We implement this in MATLAB and RStudio. Computation process is carried out in cloud and amazon AWS (ec2 instance) is used for this purpose. If the fault is predicted warning is sent about the time of failure.en_US
dc.identifier.urihttp://hdl.handle.net/123456789/9423
dc.language.isoenen_US
dc.subjectGIREESH GANAPATI GAONKARen_US
dc.subjectGOKUL VIHARI KODURUen_US
dc.subjectH.S. SUMANTHen_US
dc.subjectK.S. SHASHANKen_US
dc.subject1NH14CS039en_US
dc.subject1NH14CS040en_US
dc.subject1NH14CS042en_US
dc.subject1NH14CS051en_US
dc.titleFault Prediction of an Actuator or Sensor of a Satelliteen_US
dc.typeOtheren_US
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