LUOSanyue

LUOSanyue

Geek Repo

Company:Northeastern University

Location:中国

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LUOSanyue's repositories

1DCNN_Fault_Detection

1DCNN Fault Detection(1DCNN的轴承故障诊断)

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Awesome-Domain-Generalization

Awesome things about domain generalization, including papers, code, etc.

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CatGAN-bearing-faults

Implementation of categorical generative adversarial networks for unsupervised bearing fault diagnostics

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DAGCN

This code is about the implementation of Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Conditions.

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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。

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DL-based-Intelligent-Diagnosis-Benchmark

Source codes for the paper "Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study"

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GNN_FD

Graph Neural network for Fault Diagnosis

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LiConvFormer-a-lightweight-fault-diagnosis-framework

一种轻量化故障诊断框架——LiConvFormer

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paper-conversion

文章去重助手 论文降重 智能改写 智能原创

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time-series-transformers-review

A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.

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TL-Bearing-Fault-Diagnosis

Bearing fault diagnosis using transfer learning (or domain adaptation).

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transfer-learning-fault-diagnosis-pytorch

A transfer learning fault diagnosis repository covering popular algorithms

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Transfer-Learning-Library

Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

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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 With Low System Delay, IEEE Trans. on Instrumentation and Measurement, Aug. 2022. Techniques used: Wavelet Packet Transform (WPT) & Fast Fourier Transform (FFT). Application: vibration-based fault diagnosis.

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wechat-public-account-push

微信公众号推送-给女朋友的浪漫

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WHVG_GCN

采用一种包含加权水平可见图(WHVG)的图卷积网络(GCN),对采样的轴承震动时间序列数据分析,进行滚动轴承故障诊断。其中,对HVG中两节点的边,以节点距离的倒数作为权重进行加权,以削弱噪声节点对其他距离较远节点的影响。

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