Researcher: Bachelor's thesis
(Oct 2018 - May 2021)

• Designed an intelligent fault-detection system using Deep Learning Neural Networks that helps in i) Pre-forecasting of faults, ii) Engine Health-index prediction and iii) Identification of the faults in the bearings found in turbopump. 

• Implemented CNN, Autoencoders & Long Short Term Memory (LSTM). 

• Achieved a test accuracy of 96.41% using LSTM. 

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Thesis copy (External) - Click here to view...