tsarforme's repositories
B-CNN
Sample code of B-CNN paper (https://arxiv.org/abs/1709.09890) written in Python3+.
bear_fault_diagnosis
Bearing fault diagnosis model based on MCNN-LSTM
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 bearing vibrations recorded at different frequencies. Developed an algorithm to convert vibrational data into Symmetrized Dot Pattern images based on a Research paper. Created an Image dataset of 50 different parameters
Capsule-network-for-fault-diagnosis
Capsule network for fault diagnosis (胶囊网络用于故障诊断)
Deep-learning-in-PHM
Deep learning in PHM,Deep learning in fault diagnosis,Deep learning in remaining useful life prediction
Deep-Residual-Shrinkage-Networks
The deep residual shrinkage network is a variant of deep residual networks.
DFAWnet
code for DFAWnet
DL-based-Intelligent-Diagnosis-Benchmark
Source codes for the paper "Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study"
Few-shot-Learning-for-Fault-Diagnosis
This repository is for the Few-shot Learning for the fault diagnosis of large industrial equipment.
HNUIDG-Fault-Diagnosis-
The intelligent fault diagnosis of HNU IDG
LiConvFormer-a-lightweight-fault-diagnosis-framework
一种轻量化故障诊断框架——LiConvFormer
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
PCCNN
This is a repository of code and experiment data for paper <A probability confidence CNN model and its application in mechanical fault diagnosis>
PHMGNNBenchmark
this code library is mainly about applying graph neural networks to intelligent diagnostic and prognostic.
pytorch_wavelets
Pytorch implementation of 2D Discrete Wavelet (DWT) and Dual Tree Complex Wavelet Transforms (DTCWT) and a DTCWT based ScatterNet
pywt
PyWavelets - Wavelet Transforms in Python
Rotating-machine-fault-data-set
Open rotating mechanical fault datasets (开源旋转机械故障数据集整理)
syn2real
Code and data for our paper on IEEE-TIE: Integrating Expert Knowledge with Domain Adaptation for Unsupervised Fault Diagnosis
TFN
this is the open code of paper entitled "TFN: An Interpretable Neural Network With Time Frequency Transform Embedded for Intelligent Fault Diagnosis".
TLNN
Interpretable Fault Diagnosis of Rolling Element Bearings with Temporal Logic Neural Network
Train_Custom_Dataset
标注自己的数据集,训练、评估、测试、部署自己的人工智能算法
transfer-learning-fault-diagnosis-pytorch
A transfer learning fault diagnosis repository covering popular algorithms
UDTL
Source codes for the paper "Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative Study" published in TIM
WaveletEnabledDeepLearning
Wavelet enabled deep learning for Intelligent Maintenance and Health Management
WaveletKernelNet
This is the code for WaveletKernelNet.