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estimation-of-remaining-useful-life-using-cnn's Introduction

Estimation of Remaining Useful Life using CNN

Related Papers

  1. Deep Convolutional Neural Network Based Regression Approach for Estimation of Remaining Useful Life
  2. Deep Learning and Its Applications to Machine Health Monitoring: A Survey
  3. Ensemble of data-driven prognostic algorithms for robust prediction of remaining useful life
  4. 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.

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estimation-of-remaining-useful-life-using-cnn's Issues

input_height not defined

X = tf.placeholder(tf.float32, shape=[None,input_height,input_width,num_channels])
Error when the program reaches here.

NameError: name 'input_height' is not defined

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