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adaptively-parametric-relu

The adaptively parametric ReLU is an activation function that performs non-identically for input samples.

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

bearingpga-net

capsule-network-for-fault-diagnosis

Capsule network for fault diagnosis （胶囊网络用于故障诊断）

ccqnet

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"

dxda

fault_diognosis_dataset

few-shot-learning-for-fault-diagnosis

This repository is for the Few-shot Learning for the fault diagnosis of large industrial equipment.

few-shot-transfer-learning

Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine

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

macgan-for-fault-diagnosis

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

qcnn_for_bearing_diagnosis

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