Generative adversarial fault-tolerance for robust multimodal sensor fusion in industrial systems
Open Access
- 11 April 2026
- journal article
- Published by Elsevier in Mechanical Systems and Signal Processing
- Vol. 252
Abstract
No abstract availableFunding Information
- Fachhochschule Südwestfalen
This publication has 30 references indexed in Scilit:
- A triple domain adversarial neural network for bearing fault diagnosisMechanical Systems and Signal Processing, 2025
- Filling generative adversarial network: a novel intelligent machinery diagnostic method towards extremely limited dataAdvanced Engineering Informatics, 2025
- A degradation assessment method for industrial robot in flexible manufacturing systems based on multiple physics-informed neural networkMechanical Systems and Signal Processing, 2025
- Federated transfer learning for machinery fault diagnosis: A comprehensive review of technique and applicationMechanical Systems and Signal Processing, 2024
- An information fusion-based meta transfer learning method for few-shot fault diagnosis under varying operating conditionsMechanical Systems and Signal Processing, 2024
- Aero-engine high speed bearing fault diagnosis for data imbalance: A sample enhanced diagnostic method based on pre-training WGAN-GPMeasurement, 2023
- Dual neural networks based active fault-tolerant control for electromechanical systems with actuator and sensor failureMechanical Systems and Signal Processing, 2022
- f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networksMedical Image Analysis, 2019
- Challenges and Opportunities of Condition-based Predictive Maintenance: A ReviewProcedia CIRP, 2018
- Fault detection in autonomous robots based on fault injection and learningAutonomous Robots, 2007