Spark - Bearing RUL Predictions
☆19Mar 28, 2017Updated 9 years ago
Alternatives and similar repositories for FEMTO
Users that are interested in FEMTO are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- One model for RUL and fault prognostic prediction on XJTU bearing dataset☆103Aug 13, 2019Updated 6 years ago
- Using LSTM to predict bearings' remaining useful life☆52Apr 30, 2021Updated 5 years ago
- A data loader class for the FEMTO-ST Ball Bearing Dataset☆10Mar 28, 2020Updated 6 years ago
- Remain useful life prediction of rolling bearing.☆59Oct 30, 2020Updated 5 years ago
- This LSTM is used to predict the rest useful lifetime of ball-bearings. Its programmed with Pytorch and uses the PRONOSTIA Dataset.☆21Nov 29, 2019Updated 6 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.
- ☆17Apr 10, 2021Updated 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
- to prediction the remain useful life of bearing based on 2012 PHM data☆323Jan 17, 2021Updated 5 years ago
- Predict remaining useful life of a machine from it's historical data using CNN and LSTM☆34May 6, 2019Updated 7 years ago
- ☆64Jan 18, 2026Updated 6 months ago
- Remaining Useful Life prediction with a Deep Self-Supervised Learning Approach☆24Mar 14, 2026Updated 4 months 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
- ☆67Nov 30, 2020Updated 5 years ago
- Using LSTM to predict Remaining Useful Life of CMAPSS Dataset☆93Nov 11, 2018Updated 7 years ago
- 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.
- deep learning methods for bearing fault diagnosis☆13Mar 6, 2019Updated 7 years ago
- Deep learning approach for estimation of Remaining Useful Life (RUL) of an engine☆249Oct 2, 2020Updated 5 years ago
- Finding lifetime a bearing using IOT data and Remaining Utility Life (RUL)☆17Jul 3, 2018Updated 8 years ago
- ☆17Oct 3, 2021Updated 4 years ago
- Multi-Objective Optimization of ELM for RUL Prediction☆15Jun 1, 2022Updated 4 years ago
- Application of Transfer Learning for RUL Prediction☆31Apr 12, 2021Updated 5 years ago
- Conformal Prediction Intervals for Remaining Useful Lifetime Estimation (IJPHM 2023)☆20Jul 26, 2023Updated 2 years ago
- Prediction of remaining useful life (RUL)☆17Feb 23, 2018Updated 8 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
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Reamain Useful Life Prediction of Bearing☆13Nov 22, 2022Updated 3 years ago
- Remaining useful life prediction for N-CMAPSS dataset☆20Mar 11, 2022Updated 4 years ago
- RUL Nasa Turbofan Dataset (paper)☆26May 14, 2020Updated 6 years ago
- ☆11Jun 24, 2015Updated 11 years ago
- Using knowledge-informed machine learning on the PRONOSTIA (FEMTO) and IMS bearing data sets. Predict remaining-useful-life (RUL).☆175Mar 17, 2023Updated 3 years ago
- Graph Convolutional Network for RUL prediction with multi-sensor signals☆20Feb 12, 2023Updated 3 years ago
- Companion repository for the paper "Improving Semi-Supervised Learning for Remaining Useful Lifetime Estimation Through Self-Supervision"…☆28Jan 27, 2022Updated 4 years ago
- N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.☆23Jun 28, 2019Updated 7 years ago
- Remaining useful life prediction by Transformer-based Model☆57Aug 19, 2022Updated 3 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.
- Improving on NASA's work with induction motor bearing fault detection using RNN-powered smart sensors.☆31Aug 26, 2019Updated 6 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
- Multiclass bearing fault classification using features learned by a deep neural network.☆37Mar 19, 2022Updated 4 years ago
- The implementation of Privacy-Preserving Adaptive Remaining Useful Life Prediction via Source-Free Domain Adaption in PyTorch.☆30Mar 4, 2025Updated last year
- 轴承有3种故障:外圈故障,内圈故障,滚珠故障,外加正常的工作状态。如表1所示,结合轴承的3种直径(直径1,直径2,直径3),轴承的工作状态有10类☆35Apr 5, 2019Updated 7 years ago
- Bayesian deep learning for remaining useful life estimation via Stein variational gradient descent☆30Feb 5, 2024Updated 2 years ago
- ☆25Jul 3, 2019Updated 7 years ago