GXL-123 / Bearing-fault-Diagnosis-based-on-deep-learningLinks
基于深度学习的机械设备故障诊断方法研究
☆46Updated 3 years ago
Alternatives and similar repositories for Bearing-fault-Diagnosis-based-on-deep-learning
Users that are interested in Bearing-fault-Diagnosis-based-on-deep-learning are comparing it to the libraries listed below
Sorting:
- ☆99Updated 2 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。☆50Updated 2 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 …☆131Updated 6 months ago
- 基于深度学习的机械故障诊断☆35Updated last year
- ☆67Updated 4 years ago
- 机械故障诊断公开数据集☆60Updated last year
- Transfer learning☆53Updated 4 years ago
- Using transformer to realize Bearing Fault Diagnosis☆66Updated 2 years ago
- 基于注意力机制的少量样本故障诊断 pytorch☆246Updated 2 months ago
- A transfer learning fault diagnosis repository covering popular algorithms☆280Updated last year
- 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)☆58Updated 3 months ago
- 一种轻量化故障诊断框架——LiConvFormer☆112Updated 8 months ago
- Deep discriminative transfer learning network for cross-machine fault diagnosis☆107Updated 9 months ago
- 基于迁移学习DANN模型,对不同工况轴承进行故障诊断☆46Updated 4 years ago
- 轴承故障诊断☆97Updated 3 years ago
- The intelligent fault diagnosis of HNU IDG☆107Updated 2 years ago
- 1DCNN Fault Detection(1DCNN的轴承故障诊断)☆174Updated 3 years ago
- case study for remaining useful life estimation☆33Updated last year
- An official code for paper: TFPred: Learning discriminative representations from unlabeled data for few-label rotating machinery fault di…☆63Updated last year
- 基于深度学习的滚动轴承故障诊断方法☆197Updated 6 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
- Remain useful life prediction of rolling bearing.☆58Updated 4 years ago
- A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling (pytorch)☆42Updated 2 years ago
- ☆45Updated 3 years ago
- Generalized Multiscale Feature Extraction for Remaining Useful Life Prediction of Bearings with Generative Adversarial Networks☆42Updated 3 years ago
- ☆108Updated 2 years ago
- Remaining useful life prediction by Transformer-based Model☆51Updated 3 years ago
- The source code of paper: Trend attention fully convolutional network for remaining useful life estimation in the turbofan engine PHM of …☆58Updated 2 years ago
- A few shot learning repository for bearing fault diagnosis.☆96Updated 2 years ago
- 基于小波时频图与 Swin Transformer 的轴承故障诊断方法☆42Updated 2 years ago