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1d_cnn_vibrationsignal_bearingfaultdiagnosis

1D-CNN Vibration Signal Bearing Fault Diagnosis

2017-industrybigdata

2017工业大数据 风机叶片预测

a-weakly-supervised-learning-based-oversampling-framework-for-imbalanced-classification

This is a program of a new weakly supervised learning based oversampling framework to solve the imbalanced classification proposed by Min Qian and Yanfu Li. Reference paper：A weakly supervised learning based oversampling framework for class imbalanced fault diagnosis

adversarial-multiple-target-domain-adaptation-for-fault-classification

This is an implementation of single source multiple target domain adaptation for fault diagnosis

awesome-domain-adaptation

A collection of AWESOME things about domian adaptation

chromeappheroes

🌈谷粒-Chrome插件英雄榜, 为优秀的Chrome插件写一本中文说明书, 让Chrome插件英雄们造福人类~ ChromePluginHeroes, Write a Chinese manual for the excellent Chrome plugin, let the Chrome plugin heroes benefit the human~ 公众号「0加1」同步更新

comments-for-awesome-courses

名校公开课程评价网

conditional-adversarial-domain-adaptation

Code release for "Conditional Adversarial Domain Adaptation" (NIPS 2018)

contrastive_loss

Experiments with supervised contrastive learning methods with different loss functions

courses-zh-v2

中文版 v2 课程

deep-learning-in-phm

Deep learning in PHM，Deep learning in fault diagnosis，Deep learning in remaining useful life prediction

deep-transfer-learning

A collection of implementations of deep domain adaptation algorithms

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。

dl-based-intelligent-diagnosis-benchmark

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

external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

fault-detection-and-diagnosis-with-xai

This python script developed approach which uses various Explainable AI techniques to interpret the results given by fault detection and diagnosis model for Air Handling Units.

fault-detection-wind-turbine

Wind turbine fault detection using one class SVM

fault_diagnosis

基于深度学习的滚动轴承故障诊断方法

gpt_academic

为ChatGPT/GLM提供图形交互界面，特别优化论文阅读润色体验，模块化设计支持自定义快捷按钮&函数插件，支持代码块表格显示，Tex公式双显示，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持清华chatglm等本地模型。兼容复旦MOSS, llama, rwkv, 盘古, newbing, claude等

graph-multi-target-domain-adaptaion

PyTorch code for the paper "Curriculum Graph Co-Teaching for Multi-target Domain Adaptation" (CVPR2021)

hcl

ICLR 2021, Contrastive Learning with Hard Negative Samples

ieee-phm-2012-data-challenge-dataset

Dataset that was used during the IEEE PHM 2012 Data Challenge, built by the FEMTO-ST Institute

ifd-preprocessing-experiment

机器学习背景下旋转机械振动信号故障诊断是否需要信号预处理——使用CWRU数据的一次尝试 Whether signal preprocessing is needed for fault diagnosis of rotating machinery vibration signals in the context of machine learning - an attempt using CWRU data

in-defense-of-pseudo-labeling-an-uncertainty-aware-pseudo-label-selection-framework-for-semi-superv

"In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning" by Mamshad Nayeem Rizve, Kevin Duarte, Yogesh S Rawat, Mubarak Shah (ICLR 2021)

industrial_bigdata_competition_2017

2017工业大数据创新竞赛/风机叶片结冰预测大赛

intelligent-fault-diagnosis-of-wind-turbine-gearbox-based-on-cnn

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）

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

openfast

Main repository for the NREL-supported OpenFAST whole-turbine and FAST.Farm wind farm simulation codes.

pdfdir

PDF导航（大纲/目录）添加工具