abiodun-ayodeji / Predictive-MaintenanceLinks
This is a repository of sample codes and implementation framework for industrial machine predictive maintenance tasks using deep learning models.
☆30Updated last year
Alternatives and similar repositories for Predictive-Maintenance
Users that are interested in Predictive-Maintenance are comparing it to the libraries listed below
Sorting:
- Remaining Useful Life (RUL) prediction for Turbofan Engines☆27Updated 4 years ago
- Evolutionary Neural Architecture Search for Remaining Useful Life Prediction☆27Updated 2 years ago
- Baseline study on the development of predictive maintenance techniques using open data. Two problems are discussed: classifying a vibrati…☆19Updated 4 years ago
- remaining useful life, residual useful life, remaining life estimation, survival analysis, degradation models, run-to-failure models, con…☆26Updated 4 years ago
- ProFeld: survival analysis, predictive maintenance, churn analysis, and remaining useful life prediction in Python☆22Updated 2 years ago
- In this project I aim to apply Various Predictive Maintenance Techniques to accurately predict the impending failure of an aircraft turbo…☆151Updated 3 years ago
- Source code of the paper "A stacked DCNN to predict the RUL of a turbofan engine", third place ranked in the PHM21 data challenge.☆84Updated 2 years ago
- Remaining useful life estimation of NASA turbofan jet engines using data driven approaches which include regression models, LSTM neural n…☆31Updated 4 years ago
- This repository contains code that implement common machine learning algorithms for remaining useful life (RUL) prediction.☆201Updated 10 months ago
- ML Approaches for RUL Prediction, Anomaly Detection, Survival Analysis and Failure Classification☆29Updated last year
- This research project will illustrate the use of machine learning and deep learning for predictive analysis in industry 4.0.☆141Updated 4 years ago
- This repository contains data and code that implement common machine learning algorithms for machinery condition monitoring task.☆94Updated 10 months ago
- Multi-Objective Optimization of ELM for RUL Prediction☆14Updated 3 years ago
- A project focused on the improvement for remaining useful life estimation.☆21Updated 8 years ago
- Paper-Reproduce: (Sensors-MDPI) Remaining Useful Life Prediction Method for Bearings Based on LSTM with Uncertainty Quantification☆28Updated 2 years ago
- collection of predictive maintenance solutions for NASAs turbofan (CMAPSS) dataset☆137Updated 4 years ago
- The source code of paper: Trend attention fully convolutional network for remaining useful life estimation in the turbofan engine PHM of …☆59Updated 2 years ago
- This project uses Transformer-based RNN model to predict the remaining useful life (RUL) of turbo fan jet engines using NASA's C-MAPSS si…☆14Updated 2 years ago
- Prediction of Remaining Useful Life (RUL) of NASA Turbofan Jet Engine using libraries such as Numpy, Matplotlib and Pandas. Prediction is…☆10Updated 4 years ago
- RUL prediction for Turbofan Engine (CMAPSS dataset) using CNN☆127Updated 5 years ago
- RUL prediction for C-MAPSS dataset, reproduction of this paper: https://personal.ntu.edu.sg/xlli/publication/RULAtt.pdf☆108Updated 2 years ago
- N-CMAPSS data preparation for Machine Learning and Deep Learning models. (Python source code for new CMAPSS dataset)☆98Updated 2 years ago
- Bearing remaining useful life prediction using support vector machine and hybrid degradation tracking model - Implementation of Research …☆51Updated 4 years ago
- Using knowledge-informed machine learning on the PRONOSTIA (FEMTO) and IMS bearing data sets. Predict remaining-useful-life (RUL).☆163Updated 2 years ago
- Remaining Useful Life Prediction Using RNN/LSTM/GRU Neural Networks☆145Updated 3 years ago
- Wind turbine fault detection using one class SVM☆16Updated 3 years ago
- Code used in Thesis "Convolutional Recurrent Neural Networks for Remaining Useful Life Prediction in Mechanical Systems".☆85Updated 6 years ago
- Code repository for the book 'Machine Learning in Python for Process and Equipment Condition Monitoring, and Predictive Maintenance'☆21Updated last year
- Predicting the Remaining Useful Life (RUL) of simulated turbofan data using Keras and LSTM.☆36Updated 6 years ago
- Predict remaining useful life of a machine from it's historical data using CNN and LSTM☆33Updated 6 years ago