https://github.com/aqibsaeed/estimation-of-remaining-useful-life-using-cnn

Convolutional Neural Network based regression approach for estimating machinery's remaining useful life
https://github.com/aqibsaeed/estimation-of-remaining-useful-life-using-cnn

Last synced: 4 days ago
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Convolutional Neural Network based regression approach for estimating machinery's remaining useful life

• Host: GitHub
• URL: https://github.com/aqibsaeed/estimation-of-remaining-useful-life-using-cnn
• Owner: aqibsaeed
• License: apache-2.0
• Created: 2017-01-10T19:43:42.000Z (almost 8 years ago)
• Default Branch: master
• Last Pushed: 2019-08-11T14:40:26.000Z (over 5 years ago)
• Last Synced: 2024-05-21T07:49:29.572Z (6 months ago)
• Language: Jupyter Notebook
• Homepage:
• Size: 2.05 MB
• Stars: 127
• Watchers: 8
• Forks: 56
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
### Estimation of Remaining Useful Life using CNN

#### Related Papers





Deep Convolutional Neural Network Based Regression Approach for Estimation of Remaining Useful Life

Deep Learning and Its Applications to Machine Health Monitoring: A Survey

Ensemble of data-driven prognostic algorithms for robust prediction of remaining useful life

Deep Belief Network based state classification for structural health diagnosis



#### Tools Required

Python 3.5 is used during development and following libraries are required to run the code provided in the notebook:

* Tensorflow

* Numpy

* Pandas

#### Dataset

PHM08 challenge dataset is available in the repository or can be downloaded from the following link.