Alternatives and similar repositories for OTL-

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

• wangfin / SSLDPCA-IL-FaultDetection
  Semi-Supervised Density Peak Clustering Algorithm, Incremental Learning, Fault Detection（基于半监督密度聚类+增量学习的故障诊断）
  ☆83Updated 3 years ago
• yaoyueduzhen / HomOTL-ODDM
  Homogeneous Online Transfer Learning with Online Distribution Discrepancy Minimization
  ☆14Updated 5 years ago
• phoenixdyf / Theory-guided-Progressive-Transfer-Learning-Network
  Demo code release for TPTLN: Combining the theoretical bound and deep adversarial network for machinery open-set diagnosis transfer
  ☆41Updated 2 years ago
• CHAOZHAO-1 / Awsome-Multi-modal-based-PHM
  Awsome-Multi-modal-based PHM （基于多模态的故障诊断和预测）
  ☆75Updated last month
• HymHust / fault_diagnosis_hym
  Code sharing of fault diagnosis papers.
  ☆51Updated last year
• a1018680161 / Few-shot-Transfer-Learning
  Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine
  ☆127Updated 5 years ago
• fyancy / SSMN
  The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.
  ☆60Updated 3 years ago
• QinYi-team / DCNDSC
  ☆14Updated last year
• CHAOZHAO-1 / Domain-generalization-fault-diagnosis-benchmark
  This is a benckmark for domain generalization-based fault diagnosis （基于领域泛化的相关代码）
  ☆95Updated 8 months 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
• fyancy / MetaFD
  The source codes of Meta-learning for few-shot cross-domain fault diagnosis.
  ☆164Updated 5 months ago
• liguge / 1D-Grad-CAM-for-interpretable-intelligent-fault-diagnosis
  智能故障诊断中一维类梯度激活映射可视化展示 1D-Grad-CAM for interpretable intelligent fault diagnosis
  ☆108Updated 2 years ago
• Tongji-Intelligent-Manufacturing-221 / Bearing-Fault-Diagnosis
  ☆26Updated 3 years ago
• ChenQian0618 / TFN
  this is the open code of paper entitled "TFN: An Interpretable Neural Network With Time Frequency Transform Embedded for Intelligent Faul…
  ☆133Updated 4 months ago
• mingzhangPHD / Few-shot-Learning-for-Fault-Diagnosis
  This repository is for the Few-shot Learning for the fault diagnosis of large industrial equipment.
  ☆93Updated 3 years ago
• zhanghuanwang1 / UDTL_multi_domain
  Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study (multi_domain))
  ☆55Updated 3 years ago
• yanshen0210 / LiConvFormer-a-lightweight-fault-diagnosis-framework
  一种轻量化故障诊断框架——LiConvFormer
  ☆110Updated 7 months 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
• caidongqi / CNN-based_CWRU_Bearing_Fault_Diagonis
  Analysis of CWRU Bearing Data Set and Development of WeChat Mini Program Interface
  ☆49Updated 3 years ago
• diagnosisda / dxda
  ☆21Updated 5 years ago
• liguge / Capsule-network-for-fault-diagnosis
  Capsule network for fault diagnosis （胶囊网络用于故障诊断）
  ☆31Updated 2 years ago
• HappyBoy-cmd / fault_diagnosis_signal_processing
  ☆85Updated 2 years ago
• yongmini / UDA_Imbalanced_Bearing_Fault_Diagnosis
  ☆13Updated 6 months 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
  ☆36Updated 2 years ago
• YYFDDL / MSDAGCNs
  multi-source domain graph convolution networks (Fault and Abnormal Vibration Diagnosis)
  ☆12Updated 3 years ago
• M73ACat / IFD-Preprocessing-Experiment
  机器学习背景下旋转机械振动信号故障诊断是否需要信号预处理——使用CWRU数据的一次尝试 Whether signal preprocessing is needed for fault diagnosis of rotating machinery vibration s…
  ☆20Updated last year
• xiaoleimiao / UDTL_Lable_Inconsistent
  ☆26Updated 2 years ago
• crocodilegogogo / AWD-Net-Under-Review
  The repository of the paper 'AWD-Net: Adaptive Wavelet Decomposition Network for Rotating Machinery Fault Diagnosis Under Noisy Environme…
  ☆19Updated last year
• boating-in-autumn-rain / slothai_code
  slothai项目开源代码合集
  ☆206Updated 4 months ago
• mingzhangPHD / Supplementary-Dataset
  This is the original dataset that we use in our research work, but it may difficult to find in the original link.
  ☆26Updated 4 years ago