Hierarchical cognize framework for the multi-fault diagnosis of the interconnected system based on domain knowledge and data fusion-Reference-Cited by-同舟云学术

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Hierarchical cognize framework for the multi-fault diagnosis of the interconnected system based on domain knowledge and data fusion

Published:2022-05 Issue: Volume:193 Page:116503
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Zhang Tong,Tao Laifa,Wang Xiaoding,Zhang Cong,Li Shangyu,Hao Jie,Lu Chen,Suo Mingliang

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference41 articles.

1. Single- and Multi-Fault Diagnosis Using Machine Learning for Variable Frequency Drive-Fed Induction Motors;Ali;IEEE Transactions on Industry Applications,2020

2. LIBSVM;Chang;ACM Transactions on Intelligent Systems and Technology,2011

3. A new methodology for multiple incipient fault diagnosis in transmission lines using QTA and Naïve Bayes classifier;Da Silva;International Journal of Electrical Power & Energy Systems,2018

4. Multiple incipient fault diagnosis in three-phase electrical systems using multivariate statistical signal processing;Delpha;Engineering Applications of Artificial Intelligence,2018

5. Decentralized adaptive output-feedback controller design for stochastic nonlinear interconnected systems;Fan;Automatica,2012

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