Alternatives and similar repositories for SGMD

Users that are interested in SGMD are comparing it to the libraries listed below

• XinweiJiang / VMD
  variational mode decomposition and its variants
  ☆67Updated 5 years ago
• QinYi-team / Code
  ☆113Updated 3 years ago
• ZhaoZhibin / Fast_SASD
  Source codes for the paper "Fast Sparsity-Assisted Signal Decomposition with Non-Convex Enhancement for Bearing Fault Diagnosis"
  ☆44Updated 4 years ago
• liguge / EWSNet
  Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…
  ☆95Updated 8 months ago
• yzbbj / Bayesian-optimized-CNN
  Using Bayesian optimization to optimaze the network of CNN,which is used in fault diagnosis
  ☆16Updated 3 years ago
• WH-Huan / JL-CNN
  The code of Joint Learning CNN for Vibration Signal Denoising and Bearing Fault Diagnosis under Unknown Noise Condition.
  ☆26Updated 5 years ago
• fish-kong / CSDN-code-link
  由于CSDN博客里面不能直接上代码链接，涉嫌营销推广，因此建一个github仓库用于整理这些代码链接
  ☆153Updated 2 years ago
• melli0505 / TCN-LSTM
  TCN-LSTM Motor Vibration Fault Diagnosis Model
  ☆35Updated last year
• monkeyhlj / paperCode
  自己写的论文源码-ICEEMDAN-BiLSTM-ARIMA模型
  ☆33Updated 2 years ago
• sliu7102 / SQ-dataset-with-variable-speed-for-fault-diagnosis
  Open dataset in the field of mechanical fault diagnosis under variable speed conditions, providing benchmark for algorithm performance ev…
  ☆33Updated 2 months ago
• shenmusmart / VMD_python
  Variational Mode Decomposition for Python
  ☆62Updated 5 years ago
• aresmiki / A-case-of-the-intelligent-bearing-fault-diagnosis
  This is a case of bearing fault intelligent diagnosis. The program is written in MATLAB. The main techniques used are feature detection a…
  ☆53Updated 4 years ago
• czisou / noise_assisted_mvmd
  ☆19Updated 3 years ago
• VNemani14 / HIconstruct_optimize
  Contains code to compare several health index construction methods using run-to-failure bearing dataset
  ☆28Updated 3 years ago
• Xunannn / CVTGR-model
  CEEMDAN-VMD-TCN-GRU&RF model
  ☆15Updated last year
• ozogxyz / cmapss
  Novel algorithms to predict Remaining Useful Life (RUL) on NASA’s benchmark dataset, CMAPSS turbofan engine degradation simulation.
  ☆11Updated 2 years ago
• vrcarva / ewtpy
  Empirical wavelet transform (EWT) in Python
  ☆97Updated 5 years ago
• tinglixie / msf-rescnn-fd
  code for TII paper "Intelligent Mechanical Fault Diagnosis Using Multi-Sensor Fusion and Convolution Neural Network"
  ☆38Updated 3 years ago
• Lvhaixin / SQdataset
  SQ dataset for fault diagnosis pulished by Xi'an jiaotong University
  ☆15Updated 3 years ago
• Liudd-BJUT / WT-planetary-gearbox-dataset
  WT-planetary-gearbox-datasets
  ☆83Updated 2 months ago
• cingtiye / Basic-time-domain-and-frequency-domain-features-of-signals
  ☆34Updated 5 years ago
• MaoFuyou / woa-vmd-ssa-lstm
  ☆57Updated 8 months ago
• soloyuyang / CEEMDAN
  for de-noising
  ☆36Updated 8 years ago
• yanshen0210 / DGAT-LPS
  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
  ☆38Updated 2 years ago
• browngres / EMD-VMD-TCN
  EMD-VMD-TCN short-term load forecasting
  ☆15Updated 2 years ago
• rz0718 / MHMS_DEEPLEARNING
  ☆92Updated 5 years ago
• liguge / GTFENet_pytorch
  GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis
  ☆40Updated 2 years ago
• he-zh / vibration_gan
  Implement GANs to generate time-series signals for imbalanced learning problem. The experiments are conducted using CWRU bearing data.
  ☆88Updated 4 years ago
• Everbright52 / NEUFaultDiagnosis403
  Innovative bearing fault diagnosis using SST algorithm for time-frequency images. Accurately transform signals into efficient time-freque…
  ☆22Updated 2 years ago
• Abhijit-Bhumireddy99 / RUL_Prediction
  remaining Useful Life (RUL) Prediction of Mechanical Bearings using Continuous Wavelet Transform (CWT), Convolution Neural Network (CNN),…
  ☆190Updated last year