# rul_using_CNN_LSTM

**Repository Path**: wsyybt/rul_using_CNN_LSTM

## Basic Information

- **Project Name**: rul_using_CNN_LSTM
- **Description**: Predict remaining useful life of a machine from it's historical data using CNN and LSTM
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-10-13
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# rul_using_CNN_LSTM

As a part of my research work at DAIICT, this project aims at predicting the remaining useful life of a machine based on the historical time series data of its performance. We used NASA's jet engine data-set to build and test our model. We implemented several different Machine Learning and Deep learning algorithms out of which CNN with LSTM gave the best evaluation score.