fault diagnosis

2 items

RESEARCHarXiv CS.LG·4/22/2026

Multi-Level Temporal Graph Networks with Local-Global Fusion for Industrial Fault Diagnosis

This paper proposes a multi-level temporal graph network with local-global feature fusion for industrial fault diagnosis. It addresses the complex multi-level relations among sensors by dynamically constructing correlation graphs and combining LSTM-based encoders for temporal features with graph convolution layers for spatial dependencies.

fault diagnosis industrial AI deep learning Graph Neural Networks

RESEARCHarXiv CS.LG·4/28/2026

Avionic Main Fuel Pump Simulation and Fault-Diagnosis Benchmark

This paper introduces a high-fidelity, physics-informed co-simulation of an aircraft main-fuel-pump system to generate data for anomaly detection and diagnosis algorithms. It addresses the inherent lack of data in critical cyber-physical systems and demonstrates feasibility using unsupervised RNN-VAE and SOM-VAE models.

fault diagnosis Anomaly Detection cyber-physical systems machine learning