Prediction of Hardware and Analytical Errors using Deep Neural Network

Abstract

Fault detection is one of the major and the most important method incase of system engineering by deep learning approaches which can be benefited. In this project the deep neural networks are applied to the faults which occur in the computer manufactured machines in industries through which the capabilities of the particular machine can be analysed. In this project the computer  faults and to detect data augmentation based on the performance of neural networks are examined. This fault detection process helps us to find out the faults and maintain the quality of the computerized machines in the industries.