A Mass Optimizing Group Identification Classification Algorithm (MOGICA) used for intelligent fault diagnosis-Reference-Cited by-同舟云学术

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A Mass Optimizing Group Identification Classification Algorithm (MOGICA) used for intelligent fault diagnosis

Published:2016-08-13 Issue:3 Volume:31 Page:1745-1757
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Hong-Li Zhang¹²,Yu-Yi Zhai¹,Shu-Lin Liu¹,Dong Li¹,Bo Wang¹,Kun-Ju Shi¹,Er-Pin Zhou³

Affiliation:

1. School of Mechatronics Engineering and Automation, Shanghai University, Shanghai, P.R. China

2. Shanghai Institute of Applied Mathematics and Mechanics, Shanghai University, Shanghai, P.R. China

3. School of Engineering, Sports and Sciences, University of Bolton, Bolton, UK

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference28 articles.

1. Artificial immune classifier with swarm learning;Ilhan;Engineering Applications of Artificial Intelligence,2010

2. Rolling bearings’ intelligent fault diagnosis based on RVM optimized with Quantum genetic algorithm;Wang;Journal of Vibration and shock,2015

3. SVM and PCA based fault classification approaches for complicated industrial process;Jing;Neurocomputing,2015

4. Diagnosis of diabetes diseases using an artificial immune recognition system2 (AIRS2) with fuzzy K-nearest neighbor;Mohamed Amine;Journal of Medical Systems,2012

5. Rotating machine fault diagnosis based on KPCA and optimized BPNN- KNN model;Shao-Jiang;J Chin Soc Mech Eng,2015

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