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）

ADC

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)

We propose a novel semi-supervised learning framework for fault diagnosis in scenarios with limited labeled data, using a Multiscale and Multilevel Contrastive Learning (MMCL) approach.

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".

Source codes for the paper "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"

A benchmark fault diagnosis dataset comprises vibration data collected from a gearbox under variable working conditions with intentionally induced faults, encompassing diverse fault severities and …

[CVPR 2024] Deformable Convolution v4

用于求解薛定谔方程的数值解

A paper list of spiking neural networks, including papers, codes, and related websites. 本仓库收集脉冲神经网络相关的顶会顶刊论文和代码，正在持续更新中。

ACAN: A Plug-and-Play Adaptive Center-Aligned Network for Unsupervised Domain Adaptation

AAAI 2025: BearLLM: A Prior Knowledge-Enhanced Bearing Health Management Framework with Unified Vibration Signal Representation

Random convolution layer: An auxiliary method to improve fault diagnosis performance