jsdaiustc / Compound_fault_learning
MATLAB codes for "Sparse Bayesian learning approach for compound bearing fault diagnosis"
☆13Updated last year
Related projects ⓘ
Alternatives and complementary repositories for Compound_fault_learning
- MATLAB codes for "Frequency Estimation of Vibration Signals: An Subspace Approach for Bearing Fault Diagnosis"☆19Updated last year
- MATLAB codes for "Bearing fault diagnosis with frequency sparsity learning"☆27Updated last year
- MATLAB codes for "Group-sparsity learning approach for bearing fault diagnosis"☆14Updated 2 years ago
- Source codes for the paper "Fast Sparsity-Assisted Signal Decomposition with Non-Convex Enhancement for Bearing Fault Diagnosis"☆43Updated 3 years ago
- This is the Matlab code of the blind deconvolution based on the ratio of cyclic content (BD-RCC). BD-RCC can be used to recover repetitiv…☆22Updated 3 years ago
- code for TII paper "Intelligent Mechanical Fault Diagnosis Using Multi-Sensor Fusion and Convolution Neural Network"☆27Updated 2 years ago
- Source codes for paper "A weighted multi-scale dictionary learning model and its applications on bearing fault diagnosis"☆41Updated 4 years ago
- GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis☆30Updated last year
- 一种新的基于动态图注意力网络和标签传播策略的半监督故障诊断方法☆32Updated last year
- Innovative bearing fault diagnosis using SST algorithm for time-frequency images. Accurately transform signals into efficient time-freque…☆19Updated last year
- Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…☆64Updated 6 months ago
- Source codes for paper "Enhanced sparse period-group lasso for bearing fault diagnosis"☆19Updated 4 years ago
- The Matlab code of blind deconvolution based on criterion defined by envelope spectrum☆13Updated 3 years ago
- Imporved AdamP called AMSGradP is suitable for intelligent fault diagnosis (故障诊断)☆11Updated 2 years ago
- code for DFAWnet☆30Updated last year
- ☆28Updated last year
- An Adaptive Multi-Channel Attention Method for Fault Diagnosis☆16Updated 10 months ago
- 机械故障诊断公开数据集☆36Updated 11 months ago
- FWA-DBN-ELM fault diagnosis 故障诊断 烟花算法优化DBN-ELM的故障诊断☆26Updated 2 years ago
- ☆18Updated 2 years ago
- A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling （pytorch)☆32Updated 2 years ago
- ☆22Updated 4 years ago
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆38Updated last year
- ☆18Updated 2 years ago
- 基于深度学习的机械故障诊断☆25Updated 8 months ago
- Subband averaging kurtogram (SAK), incorporating with dual-tree complex wavelet packet transform (DTCWPT), to improve performance of the …☆13Updated 3 years ago
- Using Bayesian optimization to optimaze the network of CNN,which is used in fault diagnosis☆12Updated 2 years ago
- ☆92Updated 2 years ago
- The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.☆53Updated 2 years ago
- Capsule network for fault diagnosis （胶囊网络用于故障诊断）☆29Updated last year