o-mey / xai-vibration-fault-detection

Related projects: ⓘ

• 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…
  ☆18Updated 10 months ago
• biswajitsahoo1111 / data_driven_features_ims
  Multiclass bearing fault classification using features learned by a deep neural network.
  ☆30Updated 2 years ago
• WH-Huan / JL-CNN
  The code of Joint Learning CNN for Vibration Signal Denoising and Bearing Fault Diagnosis under Unknown Noise Condition.
  ☆20Updated 3 years ago
• marcialbaptista / 1D-DGAN-PHM
  Denoising method for C-MAPSS based on a denoising GAN. Includes other six denoising methods such as DAE, SG filter, etc.
  ☆12Updated last year
• 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…
  ☆57Updated 4 months ago
• ZhaoZhibin / Weighted_Multi-Scale_Dictionary_Learning
  Source codes for paper "A weighted multi-scale dictionary learning model and its applications on bearing fault diagnosis"
  ☆40Updated 4 years ago
• ZhaoZhibin / Fast_SASD
  Source codes for the paper "Fast Sparsity-Assisted Signal Decomposition with Non-Convex Enhancement for Bearing Fault Diagnosis"
  ☆39Updated 3 years ago
• PierrickRauby / Bearing_defect_simulation
  A python library to create vibration signal for bearing defects.
  ☆19Updated 2 years ago
• tinglixie / msf-rescnn-fd
  code for TII paper "Intelligent Mechanical Fault Diagnosis Using Multi-Sensor Fusion and Convolution Neural Network"
  ☆26Updated 2 years ago
• bhushangawde / Fault-Diagnosis-of-Roller-Bearings
  ☆23Updated 2 years ago
• susu-cm / bearings-dataset
  Condition Based Maintenance Fault Database for Testing of Diagnostic and Prognostics Algorithms
  ☆15Updated last year
• ZhaoZhibin / Few-shot-Transfer-Learning
  Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine
  ☆17Updated 4 years ago
• MatPiech / motor-fault-diagnosis
  Multi-sensor data collection gathered to expand research on anomaly detection, fault diagnosis, and predictive maintenance, mainly using …
  ☆19Updated last year
• QinYi-team / Code
  ☆87Updated last year
• monologuesmw / bearing-fault-diagnosis-by-wdcnn
  wdcnn model for bearing fault diagnosis
  ☆32Updated 4 years ago
• Xiaohan-Chen / few-shot-fault-diagnosis
  A few shot learning repository for bearing fault diagnosis.
  ☆55Updated last year
• 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…
  ☆19Updated 2 years ago
• 123EastGod / MACGAN-for-fault-diagnosis
  ☆29Updated last year
• liguge / GTFENet_pytorch
  GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis
  ☆27Updated last year
• caidongqi / CNN-based_CWRU_Bearing_Fault_Diagonis
  Analysis of CWRU Bearing Data Set and Development of WeChat Mini Program Interface
  ☆41Updated 2 years ago
• TAN-OpenLab / logistic-ELM
  A fast fault diagnosis method for rolling bearings, based on extreme learning machine (ELM) and logistic mapping.
  ☆18Updated 2 years ago
• WH-Huan / MA1DCNN
  The code of Understanding and Learning Discriminant Features based on Multi-Attention 1DCNN for Wheelset Bearing Fault Diagnosis.
  ☆14Updated 4 years ago
• biswajitsahoo1111 / cbm_codes_open
  This repository contains data and code that implement common machine learning algorithms for machinery condition monitoring task.
  ☆81Updated last year
• Hongchun-Qu / Research-and-Application-of-Bearing-Fault-Diagnosis-Based-on-Deep-Encoder-Classification-Model
  ☆12Updated 2 years ago
• matheuscnali / bearing_rul_predict
  ☆47Updated last year
• yanshen210 / KNN-SA-GNN
  论文“时变转速下基于改进图注意力网络的轴承半监督故障诊断”源码
  ☆24Updated 2 years ago
• Gearboxdata / Gear-Box-Fault-Diagnosis-Data-Set
  : Faulty and healthy gear box Data sets need to be analyzed in detail. Here, we created this dataset for those who do research in wind tu…
  ☆37Updated 6 years ago
• Tan-Qiyu / Deep_Learning_For_Fault_Diagnosis
  基于深度学习的机械故障诊断
  ☆21Updated 6 months ago
• Liudd-BJUT / WT-planetary-gearbox-dataset
  WT-planetary-gearbox-datasets
  ☆48Updated 4 months ago
• Everbright52 / NEUFaultDiagnosis403
  Innovative bearing fault diagnosis using SST algorithm for time-frequency images. Accurately transform signals into efficient time-freque…
  ☆17Updated last year