yzbbj / Bayesian-optimized-CNNLinks
Using Bayesian optimization to optimaze the network of CNN,which is used in fault diagnosis
☆15Updated 3 years ago
Alternatives and similar repositories for Bayesian-optimized-CNN
Users that are interested in Bayesian-optimized-CNN are comparing it to the libraries listed below
Sorting:
- Subband averaging kurtogram (SAK), incorporating with dual-tree complex wavelet packet transform (DTCWPT), to improve performance of the …☆11Updated 4 years ago
- BILSTM，GRU，LSTM☆16Updated last year
- Source codes for the paper "Fast Sparsity-Assisted Signal Decomposition with Non-Convex Enhancement for Bearing Fault Diagnosis"☆44Updated 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 4 years ago
- Source codes for paper "A weighted multi-scale dictionary learning model and its applications on bearing fault diagnosis"☆43Updated 5 years ago
- FDS-MOMEDA: Optimization-Blind Deconvolution in Finite High-Dimensional Spaces for Extracting Pulse Signal in Rolling Bearing Fault Diagn…☆10Updated last year
- 利用最小二乘支持向量机进行分类器建模，改进鲸鱼算法（基于冯洛伊曼拓扑的鲸鱼算法）进行超参数寻优☆41Updated 5 years ago
- MATLAB codes for "Frequency Estimation of Vibration Signals: A Subspace Approach for Bearing Fault Diagnosis"☆27Updated 7 months ago
- MATLAB codes for "Bearing fault diagnosis with frequency sparsity learning"☆31Updated 2 years ago
- Bearing fault diagnosis is important in condition monitoring of any rotating machine. Early fault detection in machinery can save million…☆98Updated 5 years ago
- Source codes for paper "Enhanced sparse period-group lasso for bearing fault diagnosis"☆18Updated 5 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
- 一些在振动信号重构中应用的稀疏重构算法☆41Updated 5 years ago
- ☆9Updated 8 years ago
- code for TII paper "Intelligent Mechanical Fault Diagnosis Using Multi-Sensor Fusion and Convolution Neural Network"☆37Updated 2 years ago
- Bandit Optimization Aglorithms and Envelope Analysis based Methods for Machinery Fault Diagnosis☆13Updated 7 months ago
- Abdulhamid97Mousa / Bearing-Fault-Diagnosis-Method-Based-on-Spectrum-Map-Information-Fusion-and-CNNsReproduce Published Article "Bearing Fault Diagnosis Method Based on Spectrum Map Information Fusion and Convolutional Neural Network""☆22Updated 2 years ago
- MATLAB codes for "Group-sparsity learning approach for bearing fault diagnosis"☆15Updated 3 years ago
- Imporved AdamP called AMSGradP is suitable for intelligent fault diagnosis (故障诊断)☆11Updated 2 years ago
- 使用vmd算法对含有噪声的图像信号进行分解，去除掉噪声信号，将剩余信号合成，得到去噪声图像。分别使用alo、ao、ga、gwo、mpa、spo、woa算法对vmd算法中的参数进行优化，实现快速、准确的完成图像信号的分解。☆94Updated 2 years ago
- A simple program to implement the Symplectic geometry mode decomposition (SGMD), including python and matlab versions.☆25Updated 2 years ago
- Adaptive Variational Nonlinear Chirp Mode Decomposition☆23Updated 2 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
- The Matlab code of blind deconvolution based on criterion defined by envelope spectrum☆16Updated 4 years ago
- ☆19Updated 3 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
- 1D-CNN Vibration Signal Bearing Fault Diagnosis☆54Updated last year
- ☆11Updated 4 years ago
- VMD-SWTTV是一种针对一维信号的二级框架降噪算法，结合了变分模态分解VMD与平稳小波变换SWT，并采用了小波变换全变分法优化了SWT。降噪效果还是不错的。☆45Updated 2 years ago
- Fault prognosis using LSTM and CNN☆17Updated 3 years ago