Alternatives and similar repositories for rolling-element-bearing-fault-detection

Users that are interested in rolling-element-bearing-fault-detection are comparing it to the libraries listed below

• Cloud-Z3 / A-Novel-Framework-for-Bearing-Fault-Diagnosis
  Codes of paper "A Novel Framework Based on Adaptive Multi-Task Learning for Bearing Fault Diagnosis".
  ☆23Updated 2 years ago
• ddrrrr / bearing-fault-diagnosis
  domain adaption with LSGAN for bearing fault diagnosis
  ☆74Updated 7 years ago
• bhushangawde / Fault-Diagnosis-of-Roller-Bearings
  ☆23Updated 3 years ago
• ZhaoZhibin / Few-shot-Transfer-Learning
  Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine
  ☆19Updated 5 years ago
• erphm / MA1DCNN
  The code of Understanding and Learning Discriminant Features based on Multi-Attention 1DCNN for Wheelset Bearing Fault Diagnosis.
  ☆26Updated 5 years ago
• Western-OC2-Lab / Vibration-Based-Fault-Diagnosis-with-Low-Delay
  Python codes “Jupyter notebooks” for the paper entitled "A Hybrid Method for Condition Monitoring and Fault Diagnosis of Rolling Bearings…
  ☆84Updated last year
• monologuesmw / bearing-fault-diagnosis-by-wdcnn
  wdcnn model for bearing fault diagnosis
  ☆33Updated 5 years ago
• AiZhanghan / deep-learning-fault-diagnosis
  ☆62Updated 6 years ago
• junior209lsj / FaultDiagnosisOptimizerBenchmark
  Benchmark code for optimizers of bearing fault diagnosis. This code provides moduled features of data download, preprocessing, training, …
  ☆46Updated 2 years ago
• BaratiLab / FaultNet
  ☆41Updated 3 years ago
• wargod797 / Fault_diagnosis_ballbearing_wavelet
  Bearing fault diagnosis is important in condition monitoring of any rotating machine. Early fault detection in machinery can save million…
  ☆99Updated 5 years ago
• HymHust / fault_diagnosis_hym
  Code sharing of fault diagnosis papers.
  ☆51Updated last year
• qinenergy / syn2real
  Code and data for our paper on IEEE-TIE: Integrating Expert Knowledge with Domain Adaptation for Unsupervised Fault Diagnosis
  ☆41Updated 2 years ago
• xiaoleimiao / UDTL_Lable_Inconsistent
  ☆26Updated 2 years ago
• anshulkulhari7 / Bearing-Fault-Diagnosis-using-Transfer-Learning
  ☆25Updated 4 years ago
• Abdulhamid97Mousa / Bearing-Fault-Diagnosis-CNNs-and-Vibration-Spectrogram
  Vibrational Analysis for CWRU Bearing Dataset
  ☆25Updated 2 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
• yanshen0210 / Digital-twin-assisted-imbalanced-fault-diagnosis-framework
  一种数字孪生辅助的高度不平衡故障诊断新框架
  ☆96Updated last year
• monologuesmw / bearing-fault-diagnosis-cnn
  Siamese network for bearing fault diagnosis
  ☆90Updated 5 years ago
• devamsheth21 / Bearing-Fault-Detection-using-Deep-Learning-approach
  Detection and multi-class classification of Bearing faults using Image classification from Case Western Reserve University data of bearin…
  ☆21Updated 3 years ago
• mohamedr002 / AMDA
  This is an implementation of single source multiple target domain adaptation for fault diagnosis
  ☆47Updated 3 years ago
• biswajitsahoo1111 / data_driven_features_ims
  Multiclass bearing fault classification using features learned by a deep neural network.
  ☆35Updated 3 years ago
• Fabian0597 / MMD_PHMS
  Master Thesis: Intelligent Ball Screw Fault Diagnosis Using Deep Learning Based Domain Adaptation and Transfer Learning
  ☆40Updated 2 years ago
• zhaoyuzhi / A-New-Convolutional-Neural-Network-Based-Data-Driven-Fault-Diagnosis-Method
  TensorFlow implementation of a CNN based mechanical science paper
  ☆46Updated 7 years ago
• MatPiech / motor-fault-diagnosis
  Multi-sensor data collection gathered to expand research on anomaly detection, fault diagnosis, and predictive maintenance, mainly using …
  ☆35Updated last month
• zhanghuanwang1 / UDTL_multi_domain
  Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study (multi_domain))
  ☆55Updated 3 years ago
• fyancy / SSMN
  The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.
  ☆61Updated 3 years ago
• NPUStarBoy / Deep-transfer-network-for-fault-diagnosis
  ☆21Updated 5 years ago
• TAN-OpenLab / logistic-ELM
  A fast fault diagnosis method for rolling bearings, based on extreme learning machine (ELM) and logistic mapping.
  ☆22Updated 3 years ago
• liguge / MIXCNN_pytorch
  A fault diagnosis method for rotating machinery based on CNN with mixed information
  ☆29Updated last year