shanpoqq / DiagnosisDL2TF
使用TensorFlow建立简单的轴承故障诊断模型
☆101Updated 7 years ago
Alternatives and similar repositories for DiagnosisDL2TF:
Users that are interested in DiagnosisDL2TF are comparing it to the libraries listed below
- 基于深度学习的滚动轴承故障诊断方法☆181Updated 5 years ago
- 基于深度学习机械设备故障诊断模型☆165Updated 7 years ago
- ☆202Updated 5 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。☆123Updated 3 years ago
- CNN for mechanical fault diagnosis☆299Updated 6 years ago
- ☆137Updated 7 years ago
- wdcnn轴承故障模型☆360Updated 6 years ago
- 轴承故障检测 训练赛第30名代码☆125Updated 5 years ago
- 1DCNN Fault Detection(1DCNN的轴承故障诊断)☆153Updated 2 years ago
- ☆59Updated 5 years ago
- 西储大学轴承数据集故障诊断的仿真平台☆109Updated last year
- with LSTM method to solve bearing fault diagnosis classification☆63Updated 7 years ago
- 利用西储大学开源的轴承故障数据,开发简单的人工神经网络,以实现对轴承故障的检测及识别。☆47Updated 4 years ago
- 轴承有3种故障:外圈故障,内圈故障,滚珠故障,外加正常的工作状态。如表1所示,结合轴承的3种直径(直径1,直径2,直径3),轴承的工作状态有10类☆32Updated 5 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)☆186Updated 5 years ago
- ☆99Updated 5 years ago
- 基于无监督和迁移学习的旋转机械故障诊断☆32Updated 5 years ago
- CNN applied to bearing signals for analysis☆88Updated 5 years ago
- 1D CNN for CWRU rolling bearings dataset☆38Updated 6 years ago
- 基于迁移学习的离心泵滚动轴承故障自动识别方法研究☆15Updated 4 years ago
- 轴承故障诊断☆77Updated 2 years ago
- to prediction the remain useful life of bearing based on 2012 PHM data☆280Updated 4 years ago
- 基于迁移学习DANN模型,对不同工况轴承进行故障诊断☆41Updated 3 years ago
- ☆162Updated 3 years ago
- Fault Diagnosis on Bearing Dataset☆32Updated 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 …☆114Updated 3 weeks 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。☆44Updated last year
- 基于注意力机制的少量样本故障诊断 pytorch☆218Updated last year
- 一维卷积网络用于航空发动机剩余寿命预测☆31Updated 5 years ago
- Siamese network for bearing fault diagnosis☆85Updated 5 years ago