hustcxl / Deep-learning-in-PHMLinks
Deep learning in PHM,Deep learning in fault diagnosis,Deep learning in remaining useful life prediction
☆459Updated 4 years ago
Alternatives and similar repositories for Deep-learning-in-PHM
Users that are interested in Deep-learning-in-PHM are comparing it to the libraries listed below
Sorting:
- to prediction the remain useful life of bearing based on 2012 PHM data☆298Updated 4 years ago
- Dataset that was used during the IEEE PHM 2012 Data Challenge, built by the FEMTO-ST Institute☆148Updated 5 years ago
- CNN for mechanical fault diagnosis☆318Updated 7 years ago
- ☆212Updated 6 years ago
- 智能故障诊断和寿命预测期刊(Journals of Intelligent Fault Diagnosis and Remaining Useful Life)☆412Updated 4 months ago
- This is the corresponding repository of paper Limited Data Rolling Bearing Fault Diagnosis with Few-shot Learning☆361Updated 3 years ago
- wdcnn轴承故障模型☆379Updated 7 years ago
- Source codes for the paper "Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study"☆718Updated 3 years ago
- ☆279Updated 7 years ago
- Remaining Useful Life Prediction Using RNN/LSTM/GRU Neural Networks☆144Updated 3 years ago
- ☆173Updated 4 years ago
- Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo…☆276Updated 4 years ago
- This repository is for the transfer learning or domain adaptive with fault diagnosis.☆272Updated 2 years ago
- 1DCNN Fault Detection(1DCNN的轴承故障诊断)☆183Updated 3 years ago
- 基于深度学习的滚动轴承故障诊断方法☆206Updated 6 years ago
- 轴承故障检测 训练赛第30名代码☆134Updated 6 years ago
- ☆68Updated 4 years ago
- Source codes for the paper "Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative …☆499Updated 3 years ago
- Dataset that was used during the PHM IEEE 2012 Data Challenge, built by the FEMTO-ST Institute☆142Updated 7 years ago
- 基于注意力机制的少量样本故障诊断 pytorch☆251Updated 4 months ago
- ☆62Updated 6 years ago
- this code library is mainly about applying graph neural networks to intelligent diagnostic and prognostic.☆291Updated 2 years ago
- [深度应用]·DC竞赛轴承故障检测开源Baseline(基于Keras1D卷积 val_acc:0.99780)☆202Updated 5 years ago
- with LSTM method to solve bearing fault diagnosis classification☆62Updated 8 years ago
- Code used in Thesis "Convolutional Recurrent Neural Networks for Remaining Useful Life Prediction in Mechanical Systems".☆84Updated 6 years ago
- Using knowledge-informed machine learning on the PRONOSTIA (FEMTO) and IMS bearing data sets. Predict remaining-useful-life (RUL).☆161Updated 2 years ago
- Using LSTM to predict Remaining Useful Life of CMAPSS Dataset☆90Updated 6 years ago
- RUL prediction for Turbofan Engine (CMAPSS dataset) using CNN☆126Updated 4 years ago
- 毕设研究课题:根据轴承的振动序列数据来诊断轴承故障。☆132Updated 4 years ago
- remaining Useful Life (RUL) Prediction of Mechanical Bearings using Continuous Wavelet Transform (CWT), Convolution Neural Network (CNN),…☆178Updated last year