Fault diagnosis in industrial processes based on predictive and descriptive machine learning methods-Reference-Cited by-同舟云学术

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Fault diagnosis in industrial processes based on predictive and descriptive machine learning methods

Published:2021 Issue: Volume: Page:207-254
ISSN:
Container-title:Applications of Artificial Intelligence in Process Systems Engineering
language:
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Author:

Ragab Ahmed,El Koujok Mohamed,Ghezzaz Hakim,Amazouz Mouloud

Publisher

Elsevier

Reference212 articles.

1. Prognostic modelling options for remaining useful life estimation by industry;Sikorska;Mech. Syst. Signal Process.,2011

2. Intelligent Fault Diagnosis and Prognosis for Engineering Systems;Vachtsevanos,2006

3. Application of an intelligent classification method to mechanical fault diagnosis;Lei;Expert Syst. Appl.,2009

4. A review on machinery diagnostics and prognostics implementing condition-based maintenance;Jardine;Mech. Syst. Signal Process.,2006

5. Signed directed graph and qualitative trend analysis based fault diagnosis in chemical industry;Dong;Chin. J. Chem. Eng.,2010

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1. Fault Classification on Melamine Faced Panels Using Local Binary Pattern;2022 35th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI);2022-10-24

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