A PyTorch Library for Multi-Task Learning

Codes for the paper "GNDAN: Graph Navigated Dual Attention Network for Zero-shot Learning" accepted to TNNLS, 2022

Source codes for the paper "Domain generalization for rotating machinery fault diagnosis: A survey" published in Advanced Engineering Informatics journal

[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"

[ICML2024] Official repo for paper "Multi-Patch Prediction: Adapting LLMs for Time Series Representation Learning"

[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"

A Library for Advanced Deep Time Series Models.

[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"

this code library is mainly about applying graph neural networks to intelligent diagnostic and prognostic.

[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"

Release data can be found in https://github.com/ncclab-sustech/MOVEA/releases/tag/MOVEA_data

This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the …

Overview: The Signal Denoising Transformer (DeT) is a deep learning model designed to remove noise from one-dimensional biosignals (e.g., EEG, EMG). By breaking the input sequence into fixed-length…

一种数字孪生辅助的高度不平衡故障诊断新框架

100+套大数据可视化炫酷大屏Html5模板；包含行业：社区、物业、政务、交通、金融银行等，全网最新、最多，最全、最酷、最炫大数据可视化模板。陆续更新中

🔥大屏，物联网大屏，一个基于 vue、datav、Echart 框架的大数据可视化（大屏展示）模板

此存储库中存放的是PHM2010铣刀磨损数据相关算法

The official code for the paper: https://arxiv.org/pdf/2108.00154.pdf

A Standard and Fair Time Series Forecasting Benchmark and Toolkit.

Shap, MRMR, PCA, Boruta

code for TII paper "Intelligent Mechanical Fault Diagnosis Using Multi-Sensor Fusion and Convolution Neural Network"

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

A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).

数据由振动信号FFT变换得到的时频域24维特征PCA降维，输入GAN生成样本

Leveraging multiple deep learning models for fault diagnosis

A physics-informed neural network for battery SOH estimation

分享的所有数据集均为开源的PHM（Prognostics and Health Management）数据，涵盖故障诊断、健康评估和寿命预测等领域。