fault-diagnosis

智能故障诊断和寿命预测期刊（Journals of Intelligent Fault Diagnosis and Remaining Useful Life）

[IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"

Deep learning in PHM，Deep learning in fault diagnosis，Deep learning in remaining useful life prediction

This is the corresponding repository of paper Limited Data Rolling Bearing Fault Diagnosis with Few-shot Learning

A transfer learning fault diagnosis repository covering popular algorithms

基于注意力机制的少量样本故障诊断 pytorch

This repository is for the transfer learning or domain adaptive with fault diagnosis.

MATLAB code for dimensionality reduction, feature extraction, fault detection, and fault diagnosis using Kernel Principal Component Analysis (KPCA).

[TKDD 2023] AdaTime: A Benchmarking Suite for Domain Adaptation on Time Series Data

This code is about the implementation of Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Conditions.

This is the code for WaveletKernelNet.

用于预测性维护与健康管理的大型语言模型（故障诊断；寿命预测）

A few shot learning repository for bearing fault diagnosis.

智能故障诊断中一维类梯度激活映射可视化展示 1D-Grad-CAM for interpretable intelligent 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 types, and various compound faults.

Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of Rolling Bearings pytorch

Implementation of the model-agnostic meta-learning framework on CWRU bearing fault dataset to address cross-domain few-shot fault diagnosis problem.

Python package that provides predictive models for fault detection, soft sensing, and process condition monitoring.

An open-source MCP server that turns LLMs into condition monitoring assistants for reliability engineers. It gives your AI assistant evidence-based vibration diagnostics: machine fault detection, severity assessment and diagnostic reports, for faster predictive maintenance decisions. Also available as a Claude Code plugin.

This repository is for the Few-shot Learning for the fault diagnosis of large industrial equipment.