A Comparison of Model-Based and Machine Learning Techniques for Fault Diagnosis
Author:
Affiliation:
1. CRIStAL Université de Lille,UMR 9189,France
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10021629/10021685/10021712.pdf?arnumber=10021712
Reference24 articles.
1. Robust Fault Diagnosis by Using Bond Graph Approach
2. Lft bond graph for online robust fault detection and isolation of hybrid multi-source system;boukerdja;Journal of Physics Conference Series,2021
3. Graph convolutional networkbased method for fault diagnosis using a hybrid of measurement and prior knowledge;chen;IEEE Transactions on Cybernetics,2021
4. A systematic analysis of performance measures for classification tasks
5. Robust diagnosability of pemfc based on bond graph lft;ould-bouamama;International Conference on Electrical and Control Engineering,2015
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Prior knowledge-infused Self-Supervised Learning and explainable AI for Fault Detection and Isolation in PEM electrolyzers;Neurocomputing;2024-08
2. Bond Graph-CNN based hybrid fault diagnosis with minimum labeled data;Engineering Applications of Artificial Intelligence;2024-05
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