niuwz / bearing-fault-diagnosis
轴承故障诊断
☆82Updated 2 years ago
Alternatives and similar repositories for bearing-fault-diagnosis:
Users that are interested in bearing-fault-diagnosis are comparing it to the libraries listed below
- 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 2 years ago
- ☆94Updated 2 years ago
- 一种轻量化故障诊断框架——LiConvFormer☆92Updated 3 months ago
- 基于深度学习的机械设备故障诊断方法研究☆37Updated 2 years ago
- Using transformer to realize Bearing Fault Diagnosis☆62Updated last year
- 西储大学轴承数据集故障诊断的仿真平台☆110Updated last year
- 1D-CNN Vibration Signal Bearing Fault Diagnosis☆52Updated last year
- 基于小波时频图与 Swin Transformer 的轴承故障诊断方法☆37Updated last year
- A few shot learning repository for bearing fault diagnosis.☆83Updated last year
- The intelligent fault diagnosis of HNU IDG☆93Updated 2 years ago
- 1DCNN Fault Detection(1DCNN的轴承故障诊断)☆157Updated 2 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
- 基于深度学习的滚动轴承故障诊断方法☆187Updated 5 years ago
- 基于注意力机制的少量样本故障诊断 pytorch☆218Updated last year
- 机械故障诊断公开数据集☆51Updated last year
- ☆13Updated 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)☆53Updated last year
- 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 …☆118Updated last month
- An open-source mechanical failure dataset is available, comprising 30+ categories including bearings, gears, pumps, and others.(30余个开源故障…☆7Updated 4 months ago
- Deep discriminative transfer learning network for cross-machine fault diagnosis☆97Updated 4 months ago
- Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…☆72Updated 11 months ago
- Transfer learning☆50Updated 3 years ago
- Bearing Fault Diagnosis By CNN、LSTM+CNN、GRU+CNN、SelfAttention+CNN☆23Updated 4 months ago
- this is the open code of paper entitled "TFN: An Interpretable Neural Network With Time Frequency Transform Embedded for Intelligent Faul…☆119Updated 2 weeks ago
- ☆45Updated 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。☆124Updated 3 years ago
- ☆60Updated 5 years ago
- Implementation of the model-agnostic meta-learning framework on CWRU bearing fault dataset to address cross-domain few-shot fault diagnos…☆62Updated 2 months 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
- 基于深度学习的机械故障诊断☆31Updated last year