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:
- 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
- Subband averaging kurtogram (SAK), incorporating with dual-tree complex wavelet packet transform (DTCWPT), to improve performance of the …☆11Updated 4 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 "Enhanced sparse period-group lasso for bearing fault diagnosis"☆18Updated 5 years ago
- Source codes for paper "A weighted multi-scale dictionary learning model and its applications on bearing fault diagnosis"☆42Updated 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
- MATLAB codes for "Bearing fault diagnosis with frequency sparsity learning"☆31Updated 2 years ago
- ☆9Updated 8 years ago
- MATLAB codes for "Frequency Estimation of Vibration Signals: A Subspace Approach for Bearing Fault Diagnosis"☆25Updated 6 months ago
- 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
- Bearing fault diagnosis is important in condition monitoring of any rotating machine. Early fault detection in machinery can save million…☆97Updated 5 years ago
- ☆18Updated 3 years ago
- Multi-scale Signed Recurrence Plot Based Time Series Classification Using Inception Architectural Networks☆9Updated 2 years ago
- MATLAB codes for "Group-sparsity learning approach for bearing fault diagnosis"☆15Updated 3 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
- Fault prognosis using LSTM and CNN☆17Updated 3 years ago
- Imporved AdamP called AMSGradP is suitable for intelligent fault diagnosis (故障诊断)☆11Updated 2 years ago
- code for TII paper "Intelligent Mechanical Fault Diagnosis Using Multi-Sensor Fusion and Convolution Neural Network"☆36Updated 2 years ago
- An ensemble bagged trees classification approach for monitoring of the engine conditions and fault diagnosis using Visual Dot Patterns of…☆18Updated 3 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
- Adaptive Variational Nonlinear Chirp Mode Decomposition☆23Updated 2 years ago
- Anudruti / Predictive-Failure-Analysis-of-Spindle-Motor-Cutting-Oil-Condition-Monitoring-of-Grinding-Machine-With the advent of Industry 4.0, manufacturing industries are competing to adopt intelligent machining systems into their processes to ge…☆12Updated 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
- The Matlab code of blind deconvolution based on criterion defined by envelope spectrum☆16Updated 4 years ago
- A simple program to implement the Symplectic geometry mode decomposition (SGMD), including python and matlab versions.☆24Updated 2 years ago
- The code of Joint Learning CNN for Vibration Signal Denoising and Bearing Fault Diagnosis under Unknown Noise Condition.☆23Updated 4 years ago
- ☆108Updated 2 years ago
- Study Notes☆22Updated 4 years ago
- ☆51Updated 3 months ago