Denoising the hob vibration signal using improved complete ensemble empirical mode decomposition with adaptive noise and noise quantization strategies.

Zhou, Han; Yan, Ping; Yuan, Yanfei; Wu, Dayuan; Huang, Qin

Zhou, Han; Yan, Ping; Yuan, Yanfei; Wu, Dayuan; Huang, Qin.

Afiliação

Zhou H; State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400044, China.
Yan P; State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400044, China. Electronic address: labyp2016@163.com.
Yuan Y; State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400044, China.
Wu D; State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400044, China.
Huang Q; State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400044, China.

ISA Trans ; 131: 715-735, 2022 Dec.

Article em En | MEDLINE | ID: mdl-35659452

Assuntos

Algoritmos; Processamento de Sinais Assistido por Computador; Razão Sinal-Ruído; Ruído; Vibração

Palavras-chave

CEEMDAN; Hob vibration signal denoising; Periodic modulation for noise assessment; Soft threshold function denoising strategies

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Algoritmos / Processamento de Sinais Assistido por Computador Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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