Fault Prediction of an Actuator or Sensor of a Satellite
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Date
2018-06-19T09:12:37Z
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Abstract
This 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.
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GIREESH GANAPATI GAONKAR, GOKUL VIHARI KODURU, H.S. SUMANTH, K.S. SHASHANK, 1NH14CS039, 1NH14CS040, 1NH14CS042, 1NH14CS051