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 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.

《动手学大模型Dive into LLMs》系列编程实践教程

Wide Kernel Time-Frequency Fusion （WTFF）--Multi-Domain Time-Frequency Fusion Feature Contrastive Learning for Machinery Fault Diagnosis

The implementation of knowledge-informed FIR-based Cross-category Filtering (FIR-CCF) framework in Pytorch.

This is our implemented source code for the paper "SC-MambaFew: Few-shot learning based on Mamba and selective spatial-channel attention for bearing fault diagnosis" published in the Journal of Com…

(MSAFF) A Multi-Stage Adaptive Feature Fusion Neural Network for Multimodal Gait Recognition

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

A generative world for general-purpose robotics & embodied AI learning.

Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.

Awsome-Multi-modal-based PHM （基于多模态的故障诊断和预测）

[IEEE TII] Balancing Discrepancy and Consistency: Adversarial Single Domain Generalization in Fault Diagnosis

This is a reposotory that includes paper about LLM-based fault diagnosis and prognosis. (基于大模型的故障诊断和预测，持续更新)

A public repository containing the data and code for the paper "Explainable fault and severity classification for rolling element bearings using Kolmogorov-Arnold networks".

The open-source code of "CS-SHAP: Extending SHAP to Cyclic-Spectral Domain for Better Interpretability of Intelligent Fault Diagnosis".

[IEEE TCYB 2024] Diff-MTS: Temporal-Augmented Conditional Diffusion-Based AIGC for Industrial Time Series Toward the Large Model Era

去广告合并规则，每8个小时更新一次。

Transfer Learning using Decision Trees for Occupancy estimation with Imbalanced Dataset

The source code (Pytorch version) of paper "Multi-modality augmented Prototypical Network for Fault Diagnosis"