Alternatives and similar repositories for wdcnn_bearning_fault_diagnosis:

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

• zhangjiali1201 / Keras_bearing_fault_diagnosis
  ☆204Updated 5 years ago
• ZhangWei1993 / Mechanical-Fault-Diagnosis-Based-on-Deep-Learning
  CNN for mechanical fault diagnosis
  ☆301Updated 7 years ago
• songyer / Fault_Diagnosis
  基于深度学习的滚动轴承故障诊断方法
  ☆188Updated 5 years ago
• wangfin / 1DCNN_Fault_Detection
  1DCNN Fault Detection（1DCNN的轴承故障诊断）
  ☆159Updated 3 years 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
  ☆220Updated last year
• 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
  ☆325Updated 2 years ago
• Xiaohan-Chen / bear_fault_diagnosis
  Bearing fault diagnosis model based on MCNN-LSTM
  ☆326Updated last year
• Xiaohan-Chen / transfer-learning-fault-diagnosis-pytorch
  A transfer learning fault diagnosis repository covering popular algorithms
  ☆243Updated 8 months ago
• liguge / Journals-of-Prognostics-and-Health-Management
  智能故障诊断和寿命预测期刊（Journals of Intelligent Fault Diagnosis and Remaining Useful Life）
  ☆355Updated 3 weeks ago
• Feaxure-fresh / TL-Fault-Diagnosis-Library
  Fault Diagnosis Employing Transfer Learning Techniques: Domain Adaptation and Domain Generalization
  ☆413Updated 6 months ago
• beifengchuizoudemeng / CWRU
  ☆101Updated 5 years ago
• 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。
  ☆124Updated 4 years ago
• ddrrrr / projectRUL
  to prediction the remain useful life of bearing based on 2012 PHM data
  ☆283Updated 4 years ago
• shanpoqq / DiagnosisDL2TF
  使用TensorFlow建立简单的轴承故障诊断模型
  ☆101Updated 7 years ago
• guanyibing / Fault-diagnosis
  基于深度学习机械设备故障诊断模型
  ☆165Updated 7 years ago
• zhangxiaoling / Bearing-fault-detection
  轴承故障检测 训练赛第30名代码
  ☆127Updated 5 years ago
• mingzhangPHD / Transfer-Learning-for-Fault-Diagnosis
  This repository is for the transfer learning or domain adaptive with fault diagnosis.
  ☆249Updated 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
  ☆110Updated last year
• hustcxl / Deep-learning-in-PHM
  Deep learning in PHM，Deep learning in fault diagnosis，Deep learning in remaining useful life prediction
  ☆438Updated 4 years ago
• ZhaoZhibin / UDTL
  Source codes for the paper "Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative …
  ☆455Updated 3 years ago
• ZhaoZhibin / DL-based-Intelligent-Diagnosis-Benchmark
  Source codes for the paper "Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study"
  ☆680Updated 3 years 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。
  ☆45Updated 2 years ago
• 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 …
  ☆118Updated last month
• AiZhanghan / deep-learning-fault-diagnosis
  ☆60Updated 5 years ago
• cathysiyu / Mechanical-datasets
  ☆261Updated 7 years ago
• Stern1996 / Bearing-Fault-Diagnosis
  ☆95Updated 2 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…
  ☆260Updated 2 weeks ago
• HazeDT / DAGCN
  This code is about the implementation of Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Condit…
  ☆155Updated 3 years ago
• niuwz / bearing-fault-diagnosis
  轴承故障诊断
  ☆85Updated 2 years ago
• littlelittlewhite09 / Bearing_Fault_recognition
  利用西储大学开源的轴承故障数据，开发简单的人工神经网络，以实现对轴承故障的检测及识别。
  ☆48Updated 4 years ago