yushi1006 / Subband-averaging-kurtogram-with-dual-tree-complex-wavelet-packetLinks
Subband averaging kurtogram (SAK), incorporating with dual-tree complex wavelet packet transform (DTCWPT), to improve performance of the fast kurtogram (FK) for rotating machinery fault diagnosis
☆11Updated 4 years ago
Alternatives and similar repositories for Subband-averaging-kurtogram-with-dual-tree-complex-wavelet-packet
Users that are interested in Subband-averaging-kurtogram-with-dual-tree-complex-wavelet-packet are comparing it to the libraries listed below
Sorting:
- 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 4 years ago
- Imporved AdamP called AMSGradP is suitable for intelligent fault diagnosis (故障诊断)☆11Updated 3 years ago
- The code of Understanding and Learning Discriminant Features based on Multi-Attention 1DCNN for Wheelset Bearing Fault Diagnosis.☆17Updated 6 years ago
- Source codes for the paper "Fast Sparsity-Assisted Signal Decomposition with Non-Convex Enhancement for Bearing Fault Diagnosis"☆44Updated 4 years ago
- MATLAB codes for "Frequency Estimation of Vibration Signals: A Subspace Approach for Bearing Fault Diagnosis"☆28Updated 11 months ago
- Source codes for paper "A weighted multi-scale dictionary learning model and its applications on bearing fault diagnosis"☆44Updated 5 years ago
- The code for paper "Adversarial Algorithm Unrolling Network for Interpretable Mechanical Anomaly Detection"☆21Updated 2 years ago
- FDS-MOMEDA: Optimization-Blind Deconvolution in Finite High-Dimensional Spaces for Extracting Pulse Signal in Rolling Bearing Fault Diagn…☆11Updated last year
- Using Bayesian optimization to optimaze the network of CNN,which is used in fault diagnosis☆16Updated 3 years ago
- The Matlab code of blind deconvolution based on criterion defined by envelope spectrum☆17Updated 4 years ago
- The code of Understanding and Learning Discriminant Features based on Multi-Attention 1DCNN for Wheelset Bearing Fault Diagnosis.☆27Updated 6 years ago
- ☆24Updated 3 years ago
- ☆10Updated 4 years ago
- MATLAB codes for "Bearing fault diagnosis with frequency sparsity learning"☆31Updated 3 years ago
- imbalanced fault diagnosis☆14Updated 5 years ago
- The code for NISTA_Net☆11Updated 2 years ago
- The code of Joint Learning CNN for Vibration Signal Denoising and Bearing Fault Diagnosis under Unknown Noise Condition.☆26Updated 5 years ago
- Multiscale reduction clustering of vibration signals for unsupervised diagnosis of machine faults☆17Updated last year
- code for DFAWnet☆36Updated 2 years ago
- ☆10Updated 6 years ago
- GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis☆40Updated 2 years ago
- ☆13Updated 4 months ago
- A Fault Diagnosis Method of Rotor System Based on Parallel Convolutional Neural Network Architecture with Attention Mechanism☆36Updated 2 years ago
- Bandit Optimization Aglorithms and Envelope Analysis based Methods for Machinery Fault Diagnosis☆14Updated 11 months ago
- ☆36Updated 3 years ago
- Implementation of categorical generative adversarial networks for unsupervised bearing fault diagnostics☆61Updated 3 years ago
- ☆19Updated 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☆37Updated 2 years ago
- The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.☆61Updated 4 years ago
- This is a repository of code and experiment data for paper <A probability confidence CNN model and its application in mechanical fault di…☆10Updated 4 years ago