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:
- ☆17Updated 4 years ago
- 此存储库中存放的是PHM2010铣刀磨损数据相关算法☆26Updated 10 months ago
- The bearing fault data set collected by Jiangnan University.☆33Updated 2 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…☆59Updated 7 years ago
- Using knowledge-informed machine learning on the PRONOSTIA (FEMTO) and IMS bearing data sets. Predict remaining-useful-life (RUL).☆160Updated 2 years ago
- Remain useful life prediction of rolling bearing.☆58Updated 4 years ago
- Data for PHM 2015 data challenge☆15Updated 9 years ago
- Dataset that was used during the IEEE PHM 2012 Data Challenge, built by the FEMTO-ST Institute☆147Updated 5 years ago
- ☆68Updated 4 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
- to prediction the remain useful life of bearing based on 2012 PHM data☆296Updated 4 years ago
- ☆55Updated 2 years ago
- 1DCNN Fault Detection(1DCNN的轴承故障诊断)☆182Updated 3 years ago
- Bearing fault diagnosis is important in condition monitoring of any rotating machine. Early fault detection in machinery can save million…☆100Updated 5 years ago
- 2018 phm data challenge, ion mill machine RUL & fault diagnosis☆70Updated 7 years ago
- remaining Useful Life (RUL) Prediction of Mechanical Bearings using Continuous Wavelet Transform (CWT), Convolution Neural Network (CNN),…☆175Updated last year
- Remaining Useful Life Prediction Using RNN/LSTM/GRU Neural Networks☆144Updated 3 years ago
- Using LSTM to predict bearings' remaining useful life☆49Updated 4 years 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.☆83Updated 2 years ago
- ☆39Updated 5 years ago
- Data set for Wind Turbine High-Speed Bearing Prognosis example in Predictive Maintenance Toolbox☆53Updated 3 years ago
- this code library is mainly about applying graph neural networks to intelligent diagnostic and prognostic.☆291Updated 2 years ago
- domain adaption with LSGAN for bearing fault diagnosis☆78Updated 7 years ago
- with LSTM method to solve bearing fault diagnosis classification☆62Updated 8 years ago
- Using LSTM to predict Remaining Useful Life of CMAPSS Dataset☆90Updated 6 years ago
- Code used in Thesis "Convolutional Recurrent Neural Networks for Remaining Useful Life Prediction in Mechanical Systems".☆84Updated 6 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…☆66Updated 6 years ago
- 分享的所有数据集均为开源的PHM(Prognostics and Health Management)数据,涵盖故障诊断、健康评估和寿命预测等领域。☆204Updated last year
- Generalized Multiscale Feature Extraction for Remaining Useful Life Prediction of Bearings with Generative Adversarial Networks☆42Updated 3 years ago
- 基于迁移学习DANN模型,对不同工况轴承进行故障诊断☆56Updated 4 years ago