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 2 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
- 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
- Prediction of Remaining Useful Life(RUL) for Aircraft Engine Using Neural Network Models☆13Dec 7, 2018Updated 7 years ago
- 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
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- 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
- Remaining Useful Life (RUL) prediction for Turbofan Engines☆29Nov 16, 2021Updated 4 years ago
- Bearing remaining useful life prediction using support vector machine and hybrid degradation tracking model - Implementation of Research …☆54Nov 10, 2021Updated 4 years ago
- Wind turbine fault detection using one class SVM☆16Feb 17, 2022Updated 4 years ago
- This project aims to propose a TCN-Based Bayesian neural nework that is used for remaining useful life prediction.☆22Jun 15, 2021Updated 5 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
- Paper-Reproduce: (Sensors-MDPI) Remaining Useful Life Prediction Method for Bearings Based on LSTM with Uncertainty Quantification☆33Mar 23, 2023Updated 3 years ago
- Machine learning applied to wind turbines incipient fault detection.☆95Aug 17, 2021Updated 4 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- 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 3 years ago
- This dataset contains over 3800 high-resolution images of surface defects on wind turbine blades with diverse and diverse backgrounds. Th…☆26Dec 27, 2023Updated 2 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
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Produce an example using LSTM to predict remaining useful life of machinery☆16Dec 28, 2023Updated 2 years ago
- Wind turbine fault prediction using machine learning☆66May 1, 2026Updated last month
- 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…☆13Jan 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
- A tool to estimate energy production of a wind farm. Furthermore, the option of wind data analysis is possible.☆18May 12, 2015Updated 11 years ago
- Exploratory Data Analysis of the popular dataset N-CMAPSS (source: https://data.nasa.gov/Aerospace/CMAPSS-Jet-Engine-Simulated-Data/ff5v-…☆16Nov 21, 2023Updated 2 years ago
- Digital twin for reliability and predictive maintenance☆25Apr 21, 2025Updated last year
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- 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
- Remain useful life prediction of rolling bearing.☆60Oct 30, 2020Updated 5 years ago
- Code used in Thesis "Convolutional Recurrent Neural Networks for Remaining Useful Life Prediction in Mechanical Systems".☆87Dec 7, 2018Updated 7 years ago
- Remaining useful life prediction for turbofan engine data (C-MAPSS)☆37Feb 14, 2020Updated 6 years ago
- This project is about predictive maintenance with machine learning. It's a final project of my Computer Science AP degree.☆73Sep 29, 2022Updated 3 years ago
- 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
- Remainin useful life prediction using Python.☆11Nov 27, 2019Updated 6 years ago