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.
☆58Mar 30, 2026Updated 3 months 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. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Bayesian Deep Learning for Remaining Useful Life Estimation of Machine Tool Components☆16Apr 26, 2022Updated 4 years ago
- remaining useful life, residual useful life, remaining life estimation, survival analysis, degradation models, run-to-failure models, con…☆26Apr 6, 2021Updated 5 years ago
- The aim to decrease the maintenance cost of generators used in wind energy production machinery. This is achieved by building various cla…☆25Jan 20, 2022Updated 4 years ago
- SCADA data pre-processing library for prognostics, health management and fault detection of wind turbines. Successor to https://github.co…☆87Jan 7, 2021Updated 5 years ago
- Prediction of Remaining Useful Life(RUL) for Aircraft Engine Using Neural Network Models☆13Dec 7, 2018Updated 7 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Remaining useful life prediction. Degradation path approximation (DPA) is a highly easy-to-understand and brand-new solution way for data…☆19Feb 27, 2024Updated 2 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 5 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
- Dash web app showing when an engine is expected to fail powered by vaex and tf/keras.☆18Sep 15, 2021Updated 4 years ago
- Bearing remaining useful life prediction using support vector machine and hybrid degradation tracking model - Implementation of Research …☆55Nov 10, 2021Updated 4 years ago
- Prediction of remaining useful life (RUL)☆17Feb 23, 2018Updated 8 years ago
- Gradient Boosting Models on Real-Time Sensor Data for AI-Enhanced Vehicle Predictive Maintenance. By using a web-based interface to forec…☆19Nov 17, 2024Updated last year
- Wind turbine fault detection using one class SVM☆16Feb 17, 2022Updated 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…☆16Feb 9, 2025Updated last year
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Paper-Reproduce: (Sensors-MDPI) Remaining Useful Life Prediction Method for Bearings Based on LSTM with Uncertainty Quantification☆33Mar 23, 2023Updated 3 years ago
- This project predicts wind turbine failure using numerous sensor data by applying classification based ML models that improves prediction…☆13Mar 20, 2023Updated 3 years ago
- Wind Turbine Fault Detection. Newer version @ https://github.com/lkev/wtphm☆74Aug 6, 2022Updated 3 years ago
- Remaining Useful Life (NASA CMAPS Dataset)☆44May 15, 2019Updated 7 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
- fault detection in wind turbines☆17Sep 16, 2020Updated 5 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 4 years ago
- This dataset contains over 3800 high-resolution images of surface defects on wind turbine blades with diverse and diverse backgrounds. Th…☆27Dec 27, 2023Updated 2 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- 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 6 years ago
- Produce an example using LSTM to predict remaining useful life of machinery☆16Dec 28, 2023Updated 2 years ago
- Evolutionary Neural Architecture Search for Remaining Useful Life Prediction☆28Apr 13, 2023Updated 3 years ago
- Estimation of RUL (Remaining Useful Life) of NASA Turbobfan Engine☆10Nov 28, 2021Updated 4 years ago
- Core codes for the paper ["A General Data-driven Framework for Remaining Useful Life Estimation with Uncertainty Quantification Using Spl…☆14Jan 17, 2024Updated 2 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
- 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…☆35Oct 16, 2021Updated 4 years ago
- Demonstration of MapR for Industrial IoT☆120Oct 18, 2022Updated 3 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Official implementation of https://arxiv.org/abs/1911.06256. Bayesian and frequentist deep learning models for remaining useful life (RUL…☆21Nov 15, 2019Updated 6 years ago
- Loading indication in dash apps using nprogress.js library☆21Oct 8, 2022Updated 3 years ago
- Remaining Useful Life prediction with a Deep Self-Supervised Learning Approach☆24Mar 14, 2026Updated 3 months ago
- Remainin useful life prediction using Python.☆11Nov 27, 2019Updated 6 years ago
- Predict remaining useful life of a machine from it's historical data using CNN and LSTM☆34May 6, 2019Updated 7 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
- ☆16Aug 11, 2022Updated 3 years ago