jsdaiustc / Compound_fault_learningLinks
MATLAB codes for "Sparse Bayesian learning approach for compound bearing fault diagnosis"
☆14Updated 2 years ago
Alternatives and similar repositories for Compound_fault_learning
Users that are interested in Compound_fault_learning are comparing it to the libraries listed below
Sorting:
- MATLAB codes for "Frequency Estimation of Vibration Signals: A Subspace Approach for Bearing Fault Diagnosis"☆25Updated 5 months ago
- MATLAB codes for "Bearing fault diagnosis with frequency sparsity learning"☆30Updated 2 years ago
- MATLAB codes for "Group-sparsity learning approach for bearing fault diagnosis"☆15Updated 3 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…☆24Updated 3 years ago
- Source codes for paper "Enhanced sparse period-group lasso for bearing fault diagnosis"☆18Updated 5 years ago
- ☆10Updated last year
- Source codes for paper "A weighted multi-scale dictionary learning model and its applications on bearing fault diagnosis"☆42Updated 5 years ago
- code for TII paper "Intelligent Mechanical Fault Diagnosis Using Multi-Sensor Fusion and Convolution Neural Network"☆34Updated 2 years ago
- The Matlab code of blind deconvolution based on criterion defined by envelope spectrum☆16Updated 3 years ago
- FDS-MOMEDA: Optimization-Blind Deconvolution in Finite High-Dimensional Spaces for Extracting Pulse Signal in Rolling Bearing Fault Diagn…☆10Updated last year
- ☆105Updated 2 years ago
- GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis☆35Updated 2 years ago
- code for DFAWnet☆34Updated last year
- Imporved AdamP called AMSGradP is suitable for intelligent fault diagnosis (故障诊断)☆11Updated 2 years ago
- Multiscale reduction clustering of vibration signals for unsupervised diagnosis of machine faults☆14Updated 6 months ago
- Subband averaging kurtogram (SAK), incorporating with dual-tree complex wavelet packet transform (DTCWPT), to improve performance of the …☆11Updated 4 years ago
- Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…☆75Updated last month
- Study Notes☆22Updated 4 years ago
- FWA-DBN-ELM fault diagnosis 故障诊断 烟花算法优化DBN-ELM的故障诊断☆29Updated 2 years ago
- It comes from eight universities, Case Western Reserve University(CWRU), Beijing University of Aeronautics and Astronautics(BUAA), Southe…☆21Updated 5 years ago
- ☆18Updated 3 years ago
- 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☆36Updated 2 years ago
- Using Bayesian optimization to optimaze the network of CNN,which is used in fault diagnosis☆15Updated 3 years ago
- The code of Understanding and Learning Discriminant Features based on Multi-Attention 1DCNN for Wheelset Bearing Fault Diagnosis.☆25Updated 5 years ago
- Innovative bearing fault diagnosis using SST algorithm for time-frequency images. Accurately transform signals into efficient time-freque…☆21Updated last year
- The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.☆57Updated 3 years ago
- a fast convolutional sparse dictionary learning algorithm, It can be applied to long one-dimensional signal processing. It doesn't need t…☆14Updated 3 years ago
- 迁移学习(故障诊断)上的一点探索☆13Updated 4 years ago
- Denoising method for C-MAPSS based on a denoising GAN. Includes other six denoising methods such as DAE, SG filter, etc.☆11Updated 2 years ago