Xiaohan-Chen / bear_fault_diagnosisLinks
Bearing fault diagnosis model based on MCNN-LSTM
☆340Updated last year
Alternatives and similar repositories for bear_fault_diagnosis
Users that are interested in bear_fault_diagnosis are comparing it to the libraries listed below
Sorting:
- A transfer learning fault diagnosis repository covering popular algorithms☆250Updated 10 months ago
- 基于注意力机制的少量样本故障诊断 pytorch☆227Updated last year
- Fault Diagnosis Employing Transfer Learning Techniques: Domain Adaptation and Domain Generalization☆433Updated 7 months ago
- 1DCNN Fault Detection(1DCNN的轴承故障诊断)☆163Updated 3 years ago
- 智能故障诊断和寿命预测期刊(Journals of Intelligent Fault Diagnosis and Remaining Useful Life)☆366Updated 2 months ago
- This is the corresponding repository of paper Limited Data Rolling Bearing Fault Diagnosis with Few-shot Learning☆331Updated 2 years ago
- This is a reposotory that includes paper、code and datasets about domain generalization-based fault diagnosis and prognosis. (基于领域泛化的故障诊断和…☆282Updated 2 weeks ago
- wdcnn轴承故障模型☆366Updated 7 years ago
- 基于深度学习的滚动轴承故障 诊断方法☆191Updated 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。☆148Updated 11 months ago
- this code library is mainly about applying graph neural networks to intelligent diagnostic and prognostic.☆275Updated 2 years ago
- to prediction the remain useful life of bearing based on 2012 PHM data☆288Updated 4 years ago
- 一种轻量化故障诊断框架——LiConvFormer☆103Updated 5 months ago
- This code is about the implementation of Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Condit…☆159Updated 4 years ago
- 这是一个首层卷积为宽卷积的深度神经网络Deep Convolutional Neural Networks with Wide First-layer Kernels (WDCNN)的实现,该模型具有优越的抗噪能力,可用于轴承的智能故障诊断。☆46Updated 2 years ago
- ☆208Updated 5 years ago
- zggg1p / A-Domain-Adaption-Transfer-Learning-Bearing-Fault-Diagnosis-Model-Based-on-Wide-Convolution-Deep-NeuInspired by the idea of transfer learning, a combined approach is proposed. In the method, Deep Convolutional Neural Networks with Wide …☆121Updated 3 months ago
- This repository is for the transfer learning or domain adaptive with fault diagnosis.☆251Updated 2 years ago
- 轴承故障诊断☆88Updated 2 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。☆126Updated 4 years ago
- Deep Residual Shrinkage Networks for Intelligent Fault Diagnosis(pytorch) 深度残差收缩网络应用于故障诊断☆229Updated 2 years ago
- remaining Useful Life (RUL) Prediction of Mechanical Bearings using Continuous Wavelet Transform (CWT), Convolution Neural Network (CNN),…☆165Updated last year
- The intelligent fault diagnosis of HNU IDG☆98Updated 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
- Using transformer to realize Bearing Fault Diagnosis☆62Updated 2 years ago
- this is the open code of paper entitled "TFN: An Interpretable Neural Network With Time Frequency Transform Embedded for Intelligent Faul…☆124Updated 2 months ago
- ☆95Updated 2 years ago
- 基于深度学习的机械设备故障诊断方法研究☆39Updated 3 years ago
- Source codes for the paper "Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative …☆466Updated 3 years ago
- A few shot learning repository for bearing fault diagnosis.☆88Updated last year