My Python scripts to make high-quality figures for publications in top AI conferences and journals.

符合nature论文学术表达和科研绘图的Skill

ASFE-Transformer：A Lightweight Acoustic Segment-Frame Embedded Architecture for Fault Diagnosis

Elevate your AI research writing, no more tedious polishing ✨

The open-source code of "CS-SHAP: Extending SHAP to "SHapley Estimated Explanation (SHEP): A Fast post-hoc attribution method for interpreting Intelligent Fault Diagnosis".

[JAS-26] Deep Domain Adaptation for Turbofan Engine Remaining Useful Life Prediction: Methodologies, Evaluation and Future Trends

This project presents a complete gearbox fault dataset provided by the University of Macau

Empirical wavelet transform (EWT) in Python

[ICLR2025] Kolmogorov-Arnold Transformer

Provide code for deep evidence learning using one-dimensional signals

Foundation model for power electronics

MS-GLFGCN: Multi-stream global-local fusion graph convolutional network for skeleton-based gait recognition

Review Helper is an AI tool that helps researchers quickly summarize, organize, and evaluate academic papers. It streamlines literature reviews by automating key tasks, making research more efficie…

## Project Introduction Source codes for the paper "An anomaly detection method for gas turbines in power plants using conditional variational autoencoder optimized with self-attention": [Reliabil…

the code for the paper Spectrum-envelope Attention-driven Adaptive Time-Frequency Enhancement Network and its Application in Trustworthy Cross-Machine Fault Diagnosis

Code release for paper A novel framework for cross-machine rolling bearing fault detection with traceable diagnostic results

用于预测性维护与健康管理的大型语言模型（故障诊断大模型；剩余使用寿命预测大模型）

Source code for the paper "Evaluating calibration of deep fault diagnostic models under distribution shift" published in Journal Computers in Industry

FlashFFTConv: Efficient Convolutions for Long Sequences with Tensor Cores

A Python toolkit providing a unified interface for storing and manipulating vibrational data for ML-based fault diagnosis.

Benchmarks and baseline implementations for studying similarity bias in vibration-based intelligent fault diagnosis.

A collection of papers and resources related to Large Language Models.

A professional list on Large (Language) Models and Foundation Models (LLM, LM, FM) for Time Series, Spatiotemporal, and Event Data.