alovberg / PHM-DatasetsLinks
Collection of datasets related to prognostics and health management
☆14Updated 4 years ago
Alternatives and similar repositories for PHM-Datasets
Users that are interested in PHM-Datasets are comparing it to the libraries listed below
Sorting:
- ☆16Updated 4 years ago
- The source code of paper: Trend attention fully convolutional network for remaining useful life estimation in the turbofan engine PHM of …☆57Updated 2 years ago
- ☆66Updated 4 years ago
- Remain useful life prediction of rolling bearing.☆57Updated 4 years ago
- : Faulty and healthy gear box Data sets need to be analyzed in detail. Here, we created this dataset for those who do research in wind tu…☆55Updated 7 years ago
- 此存储库中存放的是PHM2010铣刀磨损数据相关算法☆17Updated 6 months ago
- The bearing fault data set collected by Jiangnan University.☆26Updated 2 years ago
- ☆50Updated 2 years ago
- remaining Useful Life (RUL) Prediction of Mechanical Bearings using Continuous Wavelet Transform (CWT), Convolution Neural Network (CNN),…☆167Updated last year
- Awsome-Multi-modal-based PHM （基于多模态的故障诊断和预测）☆69Updated 2 months ago
- Dataset that was used during the IEEE PHM 2012 Data Challenge, built by the FEMTO-ST Institute☆145Updated 5 years ago
- One model for RUL and fault prognostic prediction on XJTU bearing dataset☆95Updated 5 years ago
- Using LSTM to predict bearings' remaining useful life☆48Updated 4 years ago
- Attention-based multihead model for optimized aircraft engine remaining useful life prediction☆56Updated last year
- 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
- given run to failure measurements of various sensors on a sample of similar jet engines, estimate the remaining useful life (RUL) of a ne…☆65Updated 5 years ago
- ☆35Updated 5 years ago
- Generalized Multiscale Feature Extraction for Remaining Useful Life Prediction of Bearings with Generative Adversarial Networks☆41Updated 3 years ago
- RUL prediction for Turbofan Engine (CMAPSS dataset) using CNN☆116Updated 4 years ago
- Code used in Thesis "Convolutional Recurrent Neural Networks for Remaining Useful Life Prediction in Mechanical Systems".☆83Updated 6 years ago
- to prediction the remain useful life of bearing based on 2012 PHM data☆290Updated 4 years ago
- 基于迁移学习DANN模型，对不同工况轴承进行故障诊断☆42Updated 4 years ago
- Using LSTM to predict Remaining Useful Life of CMAPSS Dataset☆88Updated 6 years ago
- Remaining Useful Life Prediction Using RNN/LSTM/GRU Neural Networks☆141Updated 3 years ago
- A Framework for Remaining Useful Life Prediction Based on Self-Attention and Physics-Informed Neural Networks☆109Updated last year
- Remaining useful life prediction for turbofan engine data (C-MAPSS)☆34Updated 5 years ago
- RUL prediction for C-MAPSS dataset, reproduction of this paper: https://personal.ntu.edu.sg/xlli/publication/RULAtt.pdf☆101Updated 2 years ago
- Data set for Wind Turbine High-Speed Bearing Prognosis example in Predictive Maintenance Toolbox☆52Updated 3 years ago
- Pytorch implementation for Domain Adaptive Remaining Useful Life Prediction with Transformer☆69Updated 2 years ago
- PyTorch implementation of remaining useful life prediction with long-short term memories (LSTM), performing on NASA C-MAPSS data sets. Pa…☆151Updated 3 years ago