liguge / Journals-of-Prognostics-and-Health-Management

Related projects ⓘ

Alternatives and complementary repositories for Journals-of-Prognostics-and-Health-Management

• Xiaohan-Chen / transfer-learning-fault-diagnosis-pytorch
  A transfer learning fault diagnosis repository covering popular algorithms
  ☆174Updated 3 months ago
• liguge / Fault-diagnosis-for-small-samples-based-on-attention-mechanism
  基于注意力机制的少量样本故障诊断 pytorch
  ☆193Updated last year
• wangfin / 1DCNN_Fault_Detection
  1DCNN Fault Detection（1DCNN的轴承故障诊断）
  ☆131Updated 2 years ago
• Xiaohan-Chen / bear_fault_diagnosis
  Bearing fault diagnosis model based on MCNN-LSTM
  ☆246Updated last year
• Feaxure-fresh / TL-Fault-Diagnosis-Library
  Fault Diagnosis Employing Transfer Learning Techniques: Domain Adaptation and Domain Generalization
  ☆332Updated last month
• ddrrrr / projectRUL
  to prediction the remain useful life of bearing based on 2012 PHM data
  ☆260Updated 3 years ago
• CHAOZHAO-1 / DG-PHM
  This is a reposotory that includes paper、code and datasets about domain generalization-based fault diagnosis and prognosis. (基于领域泛化的故障诊断和…
  ☆182Updated last week
• songyer / Fault_Diagnosis
  基于深度学习的滚动轴承故障诊断方法
  ☆167Updated 5 years ago
• AaronCosmos / wdcnn_bearning_fault_diagnosis
  wdcnn轴承故障模型
  ☆341Updated 6 years ago
• HazeDT / PHMGNNBenchmark
  this code library is mainly about applying graph neural networks to intelligent diagnostic and prognostic.
  ☆215Updated last year
• 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。
  ☆119Updated 3 years ago
• SNBQT / Limited-Data-Rolling-Bearing-Fault-Diagnosis-with-Few-shot-Learning
  This is the corresponding repository of paper Limited Data Rolling Bearing Fault Diagnosis with Few-shot Learning
  ☆295Updated 2 years ago
• zhangjiali1201 / Keras_bearing_fault_diagnosis
  ☆193Updated 5 years ago
• Stern1996 / Bearing-Fault-Diagnosis
  ☆91Updated last year
• zggg1p / A-Domain-Adaption-Transfer-Learning-Bearing-Fault-Diagnosis-Model-Based-on-Wide-Convolution-Deep-Neu
  Inspired by the idea of transfer learning, a combined approach is proposed. In the method, Deep Convolutional Neural Networks with Wide …
  ☆105Updated 4 months ago
• bighan123 / HNUIDG-Fault-Diagnosis-
  The intelligent fault diagnosis of HNU IDG
  ☆76Updated 2 years ago
• hua-ops / bearingPlatform_hua
  西储大学轴承数据集故障诊断的仿真平台
  ☆93Updated last year
• beifengchuizoudemeng / CWRU
  ☆93Updated 5 years ago
• liguge / liguge
  ☆11Updated 3 weeks ago
• ddrrrr / projectRUL2
  ☆62Updated 3 years ago
• cathysiyu / Mechanical-datasets
  ☆234Updated 6 years ago
• liguge / Deep-discriminative-transfer-learning-network-for-cross-machine-fault-diagnosis
  Deep discriminative transfer learning network for cross-machine fault diagnosis
  ☆89Updated 5 months ago
• yinjg1997 / Deep-Convolutional-Neural-Networks-with-Wide-First-layer-Kernels
  这是一个首层卷积为宽卷积的深度神经网络Deep Convolutional Neural Networks with Wide First-layer Kernels (WDCNN)的实现，该模型具有优越的抗噪能力，可用于轴承的智能故障诊断。
  ☆35Updated last year
• boating-in-autumn-rain / slothai_code
  slothai项目开源代码合集
  ☆166Updated last week
• mingzhangPHD / Transfer-Learning-for-Fault-Diagnosis
  This repository is for the transfer learning or domain adaptive with fault diagnosis.
  ☆225Updated last year
• e62505 / Fault_diognosis_dataset
  ☆68Updated 2 years ago
• 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…
  ☆130Updated 3 years ago
• HazeDT / DAGCN
  This code is about the implementation of Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Condit…
  ☆130Updated 3 years ago
• hustcxl / Deep-learning-in-PHM
  Deep learning in PHM，Deep learning in fault diagnosis，Deep learning in remaining useful life prediction
  ☆407Updated 3 years ago
• UtkarshPanara / Remaining-Useful-Life-Prediction-for-Turbofan-Engines
  RUL prediction for Turbofan Engine (CMAPSS dataset) using CNN
  ☆101Updated 4 years ago