tvhahn / weibull-knowledge-informed-mlLinks
Using knowledge-informed machine learning on the PRONOSTIA (FEMTO) and IMS bearing data sets. Predict remaining-useful-life (RUL).
☆163Updated 2 years ago
Alternatives and similar repositories for weibull-knowledge-informed-ml
Users that are interested in weibull-knowledge-informed-ml are comparing it to the libraries listed below
Sorting:
- remaining Useful Life (RUL) Prediction of Mechanical Bearings using Continuous Wavelet Transform (CWT), Convolution Neural Network (CNN),…☆183Updated last year
- This repository contains code that implement common machine learning algorithms for remaining useful life (RUL) prediction.☆201Updated 10 months 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
- 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
- This repository contains data and code that implement common machine learning algorithms for machinery condition monitoring task.☆94Updated 10 months ago
- The code of DAST☆61Updated 3 years ago
- Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo…☆280Updated 4 years ago
- Dataset that was used during the IEEE PHM 2012 Data Challenge, built by the FEMTO-ST Institute☆148Updated 5 years ago
- RUL prediction for Turbofan Engine (CMAPSS dataset) using CNN☆127Updated 5 years ago
- A collection of datasets for RUL estimation as Lightning Data Modules.☆48Updated last year
- Remain useful life prediction of rolling bearing.☆58Updated 5 years ago
- ☆70Updated 4 years ago
- Python codes “Jupyter notebooks” for the paper entitled "A Hybrid Method for Condition Monitoring and Fault Diagnosis of Rolling Bearings…☆91Updated last year
- ☆64Updated 4 years ago
- ☆56Updated 2 years ago
- Pytorch implementation for Domain Adaptive Remaining Useful Life Prediction with Transformer☆77Updated 2 years ago
- Generalized Multiscale Feature Extraction for Remaining Useful Life Prediction of Bearings with Generative Adversarial Networks☆44Updated 3 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
- ☆101Updated last year
- Remaining Useful Life Prediction Using RNN/LSTM/GRU Neural Networks☆145Updated 3 years ago
- One model for RUL and fault prognostic prediction on XJTU bearing dataset☆96Updated 6 years ago
- Bearing remaining useful life prediction using support vector machine and hybrid degradation tracking model - Implementation of Research …☆51Updated 4 years ago
- PyTorch implementation of CNN for remaining useful life prediction. Inspired by Babu, G. S., Zhao, P., & Li, X. L. (2016, April). Deep co…☆98Updated 4 years ago
- to prediction the remain useful life of bearing based on 2012 PHM data☆301Updated 4 years ago
- PyTorch implementation of remaining useful life prediction with long-short term memories (LSTM), performing on NASA C-MAPSS data sets. Pa…☆166Updated 4 years ago
- ☆21Updated 3 years ago
- Attention-based multihead model for optimized aircraft engine remaining useful life prediction☆56Updated last year
- A collection of unsupervised domain adaption algorithms for RUL estimation.☆38Updated last year
- ☆58Updated 2 years ago