TAN-OpenLab / logistic-ELMLinks
A fast fault diagnosis method for rolling bearings, based on extreme learning machine (ELM) and logistic mapping.
☆24Updated 3 years ago
Alternatives and similar repositories for logistic-ELM
Users that are interested in logistic-ELM are comparing it to the libraries listed below
Sorting:
- Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine☆130Updated 5 years ago
- The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.☆61Updated 3 years ago
- This repository is for the Few-shot Learning for the fault diagnosis of large industrial equipment.☆94Updated 3 years ago
- Master Thesis: Intelligent Ball Screw Fault Diagnosis Using Deep Learning Based Domain Adaptation and Transfer Learning☆42Updated 2 years ago
- ☆26Updated 3 years ago
- 基于Laplace小波卷积和BiGRU的少量样本故障 诊断方法 (Small sample fault diagnosis based on Laplace wavelet convolution and BiGRU)☆61Updated 4 months ago
- Implementation of categorical generative adversarial networks for unsupervised bearing fault diagnostics☆58Updated 3 years ago
- ☆47Updated 3 years ago
- Transfer learning☆58Updated 4 years ago
- ☆24Updated 2 years ago
- Code for our paper "Domain adaptive transfer learning for fault diagnosis." 2019 Prognostics and System Health Management Conference (PHM…☆22Updated 3 years ago
- ☆28Updated 4 years ago
- This is an implementation of single source multiple target domain adaptation for fault diagnosis☆47Updated 3 years ago
- Demo code release for TPTLN: Combining the theoretical bound and deep adversarial network for machinery open-set diagnosis transfer☆42Updated 2 years ago
- ☆23Updated 2 years ago
- Siamese network for bearing fault diagnosis☆91Updated 5 years ago
- This is the original dataset that we use in our research work, but it may difficult to find in the original link.☆28Updated 4 years ago
- An official code for paper: TFPred: Learning discriminative representations from unlabeled data for few-label rotating machinery fault di…☆65Updated last year
- Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study (multi_domain))☆56Updated 4 years ago
- It comes from eight universities, Case Western Reserve University(CWRU), Beijing University of Aeronautics and Astronautics(BUAA), Southe…☆21Updated 5 years ago
- ☆26Updated 2 years ago
- 一种数字孪生辅助的高度不平衡故障诊断新框架☆100Updated last year
- WT-planetary-gearbox-datasets☆78Updated 3 weeks ago
- A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling （pytorch)☆44Updated 2 years ago
- A few shot learning repository for bearing fault diagnosis.☆101Updated 2 years ago
- Code and data for our paper on IEEE-TIE: Integrating Expert Knowledge with Domain Adaptation for Unsupervised Fault Diagnosis☆40Updated 2 years ago
- This is an implementation of “Domain Adaptation for Fault Diagnosis on CWRU Dataset"☆16Updated 4 years ago
- The code of Understanding and Learning Discriminant Features based on Multi-Attention 1DCNN for Wheelset Bearing Fault Diagnosis.☆26Updated 5 years ago
- A Fault Diagnosis Method of Rotor System Based on Parallel Convolutional Neural Network Architecture with Attention Mechanism☆36Updated 2 years ago
- ☆102Updated 2 years ago