GXL-123 / Bearing-fault-Diagnosis-based-on-deep-learning

Related projects ⓘ

Alternatives and complementary repositories for Bearing-fault-Diagnosis-based-on-deep-learning

• Stern1996 / Bearing-Fault-Diagnosis
  ☆91Updated last year
• yinjg1997 / Deep-Convolutional-Neural-Networks-with-Wide-First-layer-Kernels
  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。
  ☆35Updated last year
• songyer / Fault_Diagnosis
  基于深度学习的滚动轴承故障诊断方法
  ☆167Updated 5 years ago
• zggg1p / A-Domain-Adaption-Transfer-Learning-Bearing-Fault-Diagnosis-Model-Based-on-Wide-Convolution-Deep-Neu
  Inspired by the idea of transfer learning, a combined approach is proposed. In the method, Deep Convolutional Neural Networks with Wide …
  ☆105Updated 4 months ago
• YMLZS / Transformer_BearingFaultDiagnosis
  Using transformer to realize Bearing Fault Diagnosis
  ☆51Updated last year
• MASTER111363 / Cross-domain-bearing-fault-diagnosis-on-CWRU-dataset
  ☆45Updated 2 years ago
• zhangjunzhao-00 / DANN-Bearing-fault-diagnosis
  Transfer learning
  ☆45Updated 3 years ago
• Tan-Qiyu / Deep_Learning_For_Fault_Diagnosis
  基于深度学习的机械故障诊断
  ☆24Updated 8 months ago
• Tan-Qiyu / Machine_Learning_For_Fault_Diagnosis
  基于机器学习的机械故障诊断
  ☆13Updated 8 months ago
• Xiaohan-Chen / transfer-learning-fault-diagnosis-pytorch
  A transfer learning fault diagnosis repository covering popular algorithms
  ☆174Updated 3 months ago
• xyxdegithub / cwt_swinTransformer
  基于小波时频图与 Swin Transformer 的轴承故障诊断方法
  ☆31Updated last year
• liguge / Deep-discriminative-transfer-learning-network-for-cross-machine-fault-diagnosis
  Deep discriminative transfer learning network for cross-machine fault diagnosis
  ☆89Updated 5 months ago
• liguge / Fault-diagnosis-for-small-samples-based-on-attention-mechanism
  基于注意力机制的少量样本故障诊断 pytorch
  ☆193Updated last year
• bighan123 / HNUIDG-Fault-Diagnosis-
  The intelligent fault diagnosis of HNU IDG
  ☆76Updated 2 years ago
• Tan-Qiyu / Mechanical_Fault_Diagnosis_Dataset
  机械故障诊断公开数据集
  ☆34Updated 11 months ago
• Xiaohan-Chen / few-shot-fault-diagnosis
  A few shot learning repository for bearing fault diagnosis.
  ☆60Updated last year
• yanshen0210 / LiConvFormer-a-lightweight-fault-diagnosis-framework
  一种轻量化故障诊断框架——LiConvFormer
  ☆63Updated last year
• liguge / DLWCB
  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)
  ☆47Updated last year
• ShaneSpace / MyResearchWorksPublic
  ☆47Updated 10 months ago
• ziapple / fd-dann
  基于迁移学习DANN模型，对不同工况轴承进行故障诊断
  ☆33Updated 3 years ago
• Everbright52 / NEUFaultDiagnosis403
  Innovative bearing fault diagnosis using SST algorithm for time-frequency images. Accurately transform signals into efficient time-freque…
  ☆17Updated last year
• danny95928 / pca-ResNet-fault-diagnosis
  An Adaptive Multi-Channel Attention Method for Fault Diagnosis
  ☆16Updated 10 months ago
• wangfin / 1DCNN_Fault_Detection
  1DCNN Fault Detection（1DCNN的轴承故障诊断）
  ☆131Updated 2 years ago
• sxycchb / Transformer_BearingFaultDiagnosis-master
  ☆12Updated last year
• liguge / EWSNet
  Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…
  ☆62Updated 5 months ago
• 123EastGod / HNU-IDG-FD-Code
  The intelligent fault diagnosis methods of HNU IDG
  ☆61Updated 2 years ago
• liguge / MDPS_pytorch
  A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling （pytorch)
  ☆30Updated 2 years ago
• TxgStars / wdcnn
  实现的是WDCNN的pytorch版本代码，对应论文的第三章 data包含了四个数据文件夹，这里只使用了0HP文件夹中的数据，里面包含了正常、内圈、外圈、滚动体共10种状态 preprocess.py的功能是对数据进行采样、编码，虽然划分出来了验证集但是并没有使用 trai…
  ☆22Updated last year
• e62505 / Fault_diognosis_dataset
  ☆68Updated 2 years ago
• zhiqan / MIXCNN
  A fault diagnosis method for rotating machinery based on CNN with mixed information
  ☆37Updated last year