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Deep Learning Algorithms For Bearing Fault Diagnostics-A Comprehensive Review PDF

25 Pages·2020·English
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by ['Felipe Andres Figueroa Videla']| 2020| 25 pages| English

About Deep Learning Algorithms For Bearing Fault Diagnostics-A Comprehensive Review

This document reviews deep learning algorithms for bearing fault diagnostics. It provides a brief overview of conventional machine learning methods before extensively reviewing state-of-the-art deep learning techniques. The document analyzes the superiority of deep learning methods in terms of fault feature extraction and classification performance. It also summarizes new capabilities enabled by deep learning. Additionally, it conducts a comparative study of different algorithm accuracies on a public bearing dataset. Finally, it provides recommendations for applying various deep learning algorithms to bearing fault diagnosis and discusses future research directions.

Detailed Information

Author:['Felipe Andres Figueroa Videla']
Publication Year:2020
Pages:25
Language:English
Format:PDF
Price:FREE
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