iameminmammadov / dash-predictive-maintenanceView external linksLinks
Dashboard designed to demonstrate the power of Machine Learning to predict failures (Remaining Useful Life (RUL)) in wind turbines. To predict the date when equipment will completely fail (RUL), XGBoost is used and achieved RMSE error is 0.033964 days, which is highly accurate.
☆56Aug 6, 2022Updated 3 years ago
Alternatives and similar repositories for dash-predictive-maintenance
Users that are interested in dash-predictive-maintenance are comparing it to the libraries listed below
Sorting:
- Dash web app showing when an engine is expected to fail powered by vaex and tf/keras.☆18Sep 15, 2021Updated 4 years ago
- remaining useful life, residual useful life, remaining life estimation, survival analysis, degradation models, run-to-failure models, con…☆26Apr 6, 2021Updated 4 years ago
- Prediction of Remaining Useful Life (RUL) of NASA Turbofan Jet Engine using libraries such as Numpy, Matplotlib and Pandas. Prediction is…☆10Apr 18, 2021Updated 4 years ago
- SCADA data pre-processing library for prognostics, health management and fault detection of wind turbines. Successor to https://github.co…☆84Jan 7, 2021Updated 5 years ago
- Bayesian Deep Learning for Remaining Useful Life Estimation of Machine Tool Components☆15Apr 26, 2022Updated 3 years ago
- The aim to decrease the maintenance cost of generators used in wind energy production machinery. This is achieved by building various cla…☆23Jan 20, 2022Updated 4 years ago
- This is an official code of "Bi-LSTM based Two-Stream Network for Machine Remaining Useful Life Prediction"☆15Dec 19, 2023Updated 2 years ago
- Remaining Useful Life (RUL) prediction for Turbofan Engines☆27Nov 16, 2021Updated 4 years ago
- Bearing remaining useful life prediction using support vector machine and hybrid degradation tracking model - Implementation of Research …☆52Nov 10, 2021Updated 4 years ago
- Prediction of remaining useful life (RUL)☆17Feb 23, 2018Updated 7 years ago
- This project predicts wind turbine failure using numerous sensor data by applying classification based ML models that improves prediction…☆11Mar 20, 2023Updated 2 years ago
- The objective of this project is to showcase how the performance of a multi-sensor system can be improved by reducing uncertainty, improv…☆12Jun 20, 2022Updated 3 years ago
- Machine learning applied to wind turbines incipient fault detection.☆93Aug 17, 2021Updated 4 years ago
- A Digital Twin prototype for aircraft engine health management in order to identify possible faults and to predict its remaining useful l…☆13Feb 9, 2025Updated last year
- Remaining Useful Life (NASA CMAPS Dataset)☆44May 15, 2019Updated 6 years ago
- Wind Turbine Fault Detection. Newer version @ https://github.com/lkev/wtphm☆73Aug 6, 2022Updated 3 years ago
- Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo…☆24Jan 7, 2023Updated 3 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…☆14Nov 17, 2023Updated 2 years ago
- Wind turbine fault detection using one class SVM☆16Feb 17, 2022Updated 3 years ago
- PyTorch implementation of remaining useful life prediction with long-short term memories (LSTM), performing on NASA C-MAPSS data sets. Pa…☆14Jan 7, 2023Updated 3 years ago
- Paper-Reproduce: (Sensors-MDPI) Remaining Useful Life Prediction Method for Bearings Based on LSTM with Uncertainty Quantification☆30Mar 23, 2023Updated 2 years ago
- Evolutionary Neural Architecture Search for Remaining Useful Life Prediction☆28Apr 13, 2023Updated 2 years ago
- Remainin useful life prediction using Python.☆11Nov 27, 2019Updated 6 years ago
- Code used in Thesis "Convolutional Recurrent Neural Networks for Remaining Useful Life Prediction in Mechanical Systems".☆85Dec 7, 2018Updated 7 years ago
- Remain useful life prediction of rolling bearing.☆58Oct 30, 2020Updated 5 years ago
- Produce an example using LSTM to predict remaining useful life of machinery☆16Dec 28, 2023Updated 2 years ago
- An artificial neural network (ANN) based method is developed for achieving more accurate remaining useful life prediction of Lithium Ion …☆16Sep 19, 2022Updated 3 years ago
- Battery Remaining Useful Life (RUL) Prediction based on dataset https://www.kaggle.com/datasets/ignaciovinuales/battery-remaining-useful-…☆13Jul 20, 2023Updated 2 years ago
- ANN based electrical fault detection and classification using line and phase currents and voltages.☆14Dec 2, 2022Updated 3 years ago
- Fuhrländer FL2500 2.5MW wind turbine dataset + pre-processing functions R MATLAB☆20Jul 10, 2023Updated 2 years ago
- The GitHub repository accompanying the MSc Thesis at Esade written by Oliver Caspers regarding the topic “Predictive Maintenance for Lith…☆14Oct 1, 2021Updated 4 years ago
- Remaining useful life estimation of NASA turbofan jet engines using data driven approaches which include regression models, LSTM neural n…☆33Oct 16, 2021Updated 4 years ago
- 基于LabVIEW,可由故障齿轮箱振动信号生成时域图、频谱图、倒频谱图和包络谱图☆16Jun 25, 2020Updated 5 years ago
- Core codes for the paper ["A General Data-driven Framework for Remaining Useful Life Estimation with Uncertainty Quantification Using Spl…☆13Jan 17, 2024Updated 2 years ago
- fault detection in wind turbines☆17Sep 16, 2020Updated 5 years ago
- Remaining useful life prediction for turbofan engine data (C-MAPSS)☆37Feb 14, 2020Updated 5 years ago
- This project is about predictive maintenance with machine learning. It's a final project of my Computer Science AP degree.☆70Sep 29, 2022Updated 3 years ago
- ☆16Aug 11, 2022Updated 3 years ago
- Predict remaining useful life of a machine from it's historical data using CNN and LSTM☆34May 6, 2019Updated 6 years ago