Alternatives and similar repositories for CSDN-code-link

Users that are interested in CSDN-code-link are comparing it to the libraries listed below

• huster123 / c-mapss-full-dataset-
  完整的航空发动机一维卷积神经网络训练模型
  ☆63Updated 6 years ago
• M73ACat / ResNet-1D-DRSN-1D
  A python program to build ResNet-1D model and DRSN-1D model in keras environment.
  ☆11Updated 2 years ago
• Xiaoyi2001 / PSO-LSTM
  ☆31Updated 2 years ago
• wangfin / 1DCNN_Fault_Detection
  1DCNN Fault Detection（1DCNN的轴承故障诊断）
  ☆184Updated 3 years ago
• QinYi-team / Code
  ☆112Updated 3 years ago
• zhangxiaoling / Bearing-fault-detection
  轴承故障检测 训练赛第30名代码
  ☆133Updated 6 years ago
• vvanggeng / TSC-CNN
  基于一维卷积神经网络（1D-CNN）的多元时间序列分类
  ☆80Updated 5 years ago
• Andy-design-code / Bayesian-MCMC-Prognostics
  this code implements the Bayesian-MCMC based prognostics model. PHM2010 data challenge data are used to verifty the model.
  ☆19Updated 4 years ago
• liguge / Deep-Residual-Shrinkage-Networks-for-intelligent-fault-diagnosis-DRSN-
  Deep Residual Shrinkage Networks for Intelligent Fault Diagnosis（pytorch） 深度残差收缩网络应用于故障诊断
  ☆236Updated 2 years ago
• win-z / diagnosis_of_rotating_machinery
  基于无监督和迁移学习的旋转机械故障诊断
  ☆33Updated 5 years ago
• BBT0524 / diagnose_fault_by_vibration
  毕设研究课题：根据轴承的振动序列数据来诊断轴承故障。
  ☆133Updated 4 years ago
• jiaxiang-cheng / PyTorch-CNN-for-RUL-Prediction
  PyTorch implementation of CNN for remaining useful life prediction. Inspired by Babu, G. S., Zhao, P., & Li, X. L. (2016, April). Deep co…
  ☆98Updated 4 years ago
• boating-in-autumn-rain / slothai_code
  slothai项目开源代码合集
  ☆220Updated 7 months ago
• ddrrrr / projectRUL
  to prediction the remain useful life of bearing based on 2012 PHM data
  ☆301Updated 4 years ago
• MaoFuyou / woa-vmd-ssa-lstm
  ☆56Updated 7 months ago
• zhangjiali1201 / Keras_bearing_fault_diagnosis
  ☆212Updated 6 years ago
• Abhijit-Bhumireddy99 / RUL_Prediction
  remaining Useful Life (RUL) Prediction of Mechanical Bearings using Continuous Wavelet Transform (CWT), Convolution Neural Network (CNN),…
  ☆182Updated last year
• jiaxiang-cheng / PyTorch-LSTM-for-RUL-Prediction
  PyTorch implementation of remaining useful life prediction with long-short term memories (LSTM), performing on NASA C-MAPSS data sets. Pa…
  ☆166Updated 4 years ago
• Neovairis / RUL-estimation-based-on-FCN-LSTM
  For better estimation of aero-engine RUL, we concatenate 1-D CNN and LSTM in a parallel structure.
  ☆15Updated 5 years ago
• strongnine / Series2Image
  Encoding time series as images using GAF operation by pyts.
  ☆227Updated 3 years ago
• Adithya-Thonse / N-CMAPSS_DL
  Estimating Remaining Useful Life of a Turbofan Jet Engine using NCMAPSS dataset
  ☆38Updated 2 years ago
• Xiaohan-Chen / bear_fault_diagnosis
  Bearing fault diagnosis model based on MCNN-LSTM
  ☆386Updated 2 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
• WY-Lan / TSA-LSTM-and-PSO-LSTM
  Tree seed algorithm and Particle Swarm algorithm are used for searching the LSTM hyper parameters
  ☆11Updated 2 years ago
• NahuelCostaCortez / Remaining-Useful-Life-Estimation-Variational
  ☆101Updated last year
• GXL-123 / Bearing-fault-Diagnosis-based-on-deep-learning
  基于深度学习的机械设备故障诊断方法研究
  ☆47Updated 3 years ago
• ZhenghuaNTU / RUL-prediction-using-attention-based-deep-learning-approach
  ☆58Updated 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.
  ☆87Updated 3 years ago
• Tan-Qiyu / Mechanical_Fault_Diagnosis_Dataset
  机械故障诊断公开数据集
  ☆68Updated last year
• xizhihina / Turbofan-RUL-Prediction
  Use GRU,LSTM,CNN to predict the RUL in C-MAPSS dataset
  ☆31Updated last year