Alternatives and similar repositories for cost-sensitive-learning-for-imbalanced-fault-diagnosis

Users that are interested in cost-sensitive-learning-for-imbalanced-fault-diagnosis are comparing it to the libraries listed below

• StepyHan / Domain-adaptation-for-fault-diagnosis
  ☆10Updated 6 years ago
• s-whynot / Transfer_Learning_Bearing_Fault
  ☆13Updated 4 years ago
• fyancy / DASMN
  The PyTorch version for 'Domain-adversarial similarity-based meta-learning network'.
  ☆16Updated 3 years ago
• susu-cm / bearings-dataset
  Condition Based Maintenance Fault Database for Testing of Diagnostic and Prognostics Algorithms
  ☆16Updated 8 months ago
• kashyaprakshith / Domain_Adaptation_Bosch_Rexroth
  This is an implementation of “Domain Adaptation for Fault Diagnosis on CWRU Dataset"
  ☆14Updated 3 years ago
• WH-Huan / MA1DCNN
  The code of Understanding and Learning Discriminant Features based on Multi-Attention 1DCNN for Wheelset Bearing Fault Diagnosis.
  ☆16Updated 5 years ago
• Schuck9 / CoDats-For-Fault-diagnosis
  A transfer learning model CoDats applied to fault diagnosis problem
  ☆15Updated 4 years ago
• xiaokangyu / KDAD
  ☆10Updated 2 years ago
• guannancao / -DADNN-for-bearing-fault-diagnosis
  ☆11Updated 4 years ago
• Scallopwang / Rotating-machinery-fault-diagnosis-dataset
  It comes from eight universities, Case Western Reserve University(CWRU), Beijing University of Aeronautics and Astronautics(BUAA), Southe…
  ☆21Updated 5 years ago
• mohamedr002 / AMDA
  This is an implementation of single source multiple target domain adaptation for fault diagnosis
  ☆47Updated 3 years ago
• aresmiki / Blind-deconvolution-based-on-the-ratio-of-cyclic-content
  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
• Botao-An / AAU_Net
  The code for paper "Adversarial Algorithm Unrolling Network for Interpretable Mechanical Anomaly Detection"
  ☆20Updated 2 years ago
• NPUStarBoy / Deep-transfer-network-for-fault-diagnosis
  ☆21Updated 4 years ago
• 123EastGod / Novel-joint-transfer-network
  ☆23Updated 2 years ago
• PHM-Code / MWA-CNN
  The code of Interpretable Convolutional Neural Network with Multilayer Wavelet for Noise-Robust Machinery Fault Diagnosis
  ☆44Updated 3 years ago
• QinYi-team / MMSD
  ☆16Updated 2 years ago
• yfshich / wdcnn_bearning_fault_diagnosis-master
  fault_diagnosis
  ☆18Updated 6 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
• opprud / bearing_dataset
  ☆23Updated last year
• monologuesmw / bearing-fault-diagnosis-by-wdcnn
  wdcnn model for bearing fault diagnosis
  ☆33Updated 5 years ago
• ZhaoZhibin / Few-shot-Transfer-Learning
  Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine
  ☆19Updated 5 years ago
• 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
• xaddwell / Adversarial-Attack-on-Machinery-Fault-Diagnosis
  The code for http://arxiv.org/abs/2110.02498
  ☆18Updated 2 years ago
• CadeHu / Transfer-Learning
  迁移学习(故障诊断)上的一点探索
  ☆13Updated 4 years ago
• binzh93 / fault_diagnosis_cnn_pytorch
  ☆10Updated 6 years ago
• Vanguitar / MRC
  Multiscale reduction clustering of vibration signals for unsupervised diagnosis of machine faults
  ☆14Updated 8 months ago
• marslzd / Fault_Diagnosis_Machine_Learning
  ☆11Updated 2 years ago
• yushi1006 / Subband-averaging-kurtogram-with-dual-tree-complex-wavelet-packet
  Subband averaging kurtogram (SAK), incorporating with dual-tree complex wavelet packet transform (DTCWPT), to improve performance of the …
  ☆11Updated 4 years ago
• liguge / AMSGradP-for-intelligent-fault-diagnosis
  Imporved AdamP called AMSGradP is suitable for intelligent fault diagnosis (故障诊断)
  ☆11Updated 2 years ago