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About 2020 - Rezaeianjouybari - Review - DL For PHM State of The Art and Chellenges
This document provides a review of using deep learning techniques for prognostics and health management (PHM). It discusses how deep learning models like convolutional neural networks, recurrent neural networks, and generative models can be effective for interpreting condition monitoring signals and predicting remaining useful life. The document categorizes deep learning models, provides examples of how they can solve challenges in PHM, and discusses how transfer learning and domain adaptation can be applied. It also summarizes available hardware, software, datasets and resources for deep learning based PHM and discusses challenges and opportunities for future research.
Detailed Information
| Author: | ['judarangoca'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 29 |
| Language: | English |
| Format: | |
| Price: | FREE |
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