FAULT DIAGNOSIS OF ROLLING BEARING BASED ON LEARNING SAMPLE SELECTION VIA CORRELATION ENERGY FLUCTUATION EVALUATION AND DEEP BELIEF NEURAL NETWORK

QIN Bo; LUO QuanYi; FENG WeiWei; ZHANG Peng; ZHAO ZhenHua; LI ZiXian; WANG Zhuo

doi:10.16579/j.issn.1001.9669.2023.02.002

Home>Articles>FAULT DIAGNOSIS OF ROLLING BEARING BASED ON LEARNING SAMPLE SELECTION VIA CORRELATION ENERGY FLUCTUATION EVALUATION AND DEEP BELIEF NEURAL NETWORK

DOI: 10.16579/j.issn.1001.9669.2023.02.002

FAULT DIAGNOSIS OF ROLLING BEARING BASED ON LEARNING SAMPLE SELECTION VIA CORRELATION ENERGY FLUCTUATION EVALUATION AND DEEP BELIEF NEURAL NETWORK

QIN Bo

LUO QuanYi

FENG WeiWei

ZHANG Peng

ZHAO ZhenHua

LI ZiXian

WANG Zhuo

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Publication Date：2023-04-15

Online Publishing Date：2026-09-12(First online date of this platform, not the publication date of the document)

Pages：9( 262-270 )

Journal of Mechanical Strength

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ISSN：1001-9669

Year, Vol.(Issue)：2023,45(2)