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This project is a detailed document about SVCAN. The data will be released after the paper is accepted.
Dynamic Distance Polarization Regularized Optimal Transport for Cross Domain Fault Diagnosis of Rotating Machinery
Graph-based multi-source transfer learning offers a promising solution. However, current methods are often constrained by inaccurate feature extraction and insufficient feature interaction, which h…
A novel multi-source sensor correlation adaptive fusion framework with uncertainty quantification for intelligent fault diagnosis
MENTOR: Fixing Introductory Programming Assignments With Formula-Based Fault Localization and LLM-Driven Program Repair
TASE 2026 LLM-enhanced Intent-Aware for Proactive Decision Support Services in Industrial Activities
This reposotory release a gearbox failure dataset, which can support intelliegnt fault diagnosis research(实验室自采齿轮箱开源数据集,包含稳定转速和时变转速)
An advanced framework for mechanical fault diagnosis using Physics-Informed Machine Learning (PiML). Combines TLS-DMD, physics-driven feature extraction, and Random Forest on the CWRU Bearing Datas…
A Foundation Model for Industrial Signal Comprehensive Representation
The code for paper "Enhancing Industrial Fault Diagnosis: A Probabilistic Expert System with LLM‑Augmented Validation".
A curated collection of papers, code, and resources on LLMs for time series forecasting, classification, fault diagnosis, anomaly detection, and prognostics.
[IEEEHTC2023] Repo to analyse and predict cutting tool wear using acoustic signals.
This project implements a decentralized multi-agent reinforcement learning (MARL) framework for local energy markets, focusing on implicit cooperation between agents to maintain grid balance while …
Large Language Model framework for machine fault diagnosis using FFT and statistical features from time-series vibration data.
AI Paper Review Prompts
UIWidget is a Unity Package which helps developers to create, debug and deploy efficient, cross-platform Apps.
Research on online identification and intelligent vibration suppression of robot machining based on deep learning
Awesome Literature Graph Learning Challenges