IEEE - Institute of Electrical and Electronics Engineers, Inc. - Feature dimension reduction method of rolling bearing based on quantum genetic algorithm

2016 Prognostics and System Health Management Conference (PHM-Chengdu)

Author(s): Xiaochen Zhang ; Dongxiang Jiang ; Te Han ; Nanfei Wang
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 October 2016
Conference Location: Chengdu, China
Conference Date: 19 October 2016
Page(s): 1 - 5
ISBN (Electronic): 978-1-5090-2778-1
ISBN (USB): 978-1-5090-2777-4
ISSN (Electronic): 2166-5656
DOI: 10.1109/PHM.2016.7819923
Regular:

In order to improve the correct recognition rate of rolling bearing failure, a feature dimension reduction method based on quantum genetic algorithm (QGA) is proposed. A kind of rolling bearing... View More

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