Robust multimodal latent repair for fault-tolerant cyber–physical production systems
Open Access
- 17 April 2026
- journal article
- Published by Elsevier in Journal of Manufacturing Systems
- Vol. 86, 1066-1080
Abstract
No abstract availableFunding Information
- Fachhochschule Südwestfalen
This publication has 24 references indexed in Scilit:
- Lipschitz-controlled attention fusion for stable multimodal autoencoders in industrial robotics and manufacturingExpert Systems with Applications, 2026
- Unsupervised multimodal fusion of in-process sensor data for advanced manufacturing process monitoringJournal of Manufacturing Systems, 2024
- Nonlinear robust integral based actor–critic reinforcement learning control for a perturbed three-wheeled mobile robot with mecanum wheelsComputers and Electrical Engineering, 2024
- A Comprehensive Study on Robustness of Image Classification Models: Benchmarking and RethinkingInternational Journal of Computer Vision, 2024
- Towards trustworthy rotating machinery fault diagnosis via attention uncertainty in transformerJournal of Manufacturing Systems, 2023
- A transformer-based approach for novel fault detection and fault classification/diagnosis in manufacturing: A rotary system applicationJournal of Manufacturing Systems, 2023
- Singular Value Perturbation and Deep Network OptimizationConstructive Approximation, 2022
- Dynamic Routing-based Multimodal Neural Network for Multi-sensory Fault Diagnosis of Induction MotorJournal of Manufacturing Systems, 2020
- Estimation of missing values in heterogeneous traffic data: Application of multimodal deep learning modelKnowledge-Based Systems, 2020
- Deep learning for smart manufacturing: Methods and applicationsJournal of Manufacturing Systems, 2018