Tan-Qiyu / Mechanical_Fault_Diagnosis_Dataset
机械故障诊断公开数据集
☆48Updated last year
Alternatives and similar repositories for Mechanical_Fault_Diagnosis_Dataset:
Users that are interested in Mechanical_Fault_Diagnosis_Dataset are comparing it to the libraries listed below
- 基于深度学习的机械故障诊断☆31Updated last year
- 基于机器学习的机械故障诊断☆17Updated last year
- ☆93Updated last year
- 基于深度学习的机械设备故障诊断方法研究☆31Updated 2 years ago
- 基于图神经网络的机械故障诊断☆92Updated last year
- 基于迁移学习DANN模型,对不同工况轴承进行故障诊断☆39Updated 3 years ago
- An Adaptive Multi-Channel Attention Method for Fault Diagnosis☆18Updated last year
- Using transformer to realize Bearing Fault Diagnosis☆60Updated 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)☆52Updated last year
- A few shot learning repository for bearing fault diagnosis.☆79Updated last year
- Transfer learning☆49Updated 3 years ago
- A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling (pytorch)☆37Updated 2 years ago
- ☆45Updated 2 years ago
- Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…☆70Updated 10 months ago
- ☆32Updated 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。☆43Updated last year
- ☆79Updated 2 years ago
- The intelligent fault diagnosis of HNU IDG☆87Updated 2 years ago
- The intelligent fault diagnosis methods of HNU IDG☆65Updated 2 years ago
- 基于小波时频图与 Swin Transformer 的轴承故障诊断方法☆35Updated 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 …☆111Updated 2 weeks ago
- MSIFT: A Novel End-to-End Mechanical Fault Diagnosis Framework under Limited & Imbalanced Data Using Multi-Source Information Fusion☆50Updated 2 weeks ago
- ☆97Updated 2 years ago
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆40Updated last year
- Bearing Fault Diagnosis By CNN、LSTM+CNN、GRU+CNN、SelfAttention+CNN☆16Updated 3 months ago
- Deep discriminative transfer learning network for cross-machine fault diagnosis☆96Updated 3 months ago
- Source codes for the paper "Fast Sparsity-Assisted Signal Decomposition with Non-Convex Enhancement for Bearing Fault Diagnosis"☆44Updated 3 years ago
- GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis☆34Updated last year
- Innovative bearing fault diagnosis using SST algorithm for time-frequency images. Accurately transform signals into efficient time-freque…☆21Updated last year
- Fault detection and diagnosis for dynamic system based on GAN and independent subspace reconstruction☆9Updated last year