The improved variational nonlinear chirplet mode decomposition via local maximum synchrosqueezing transform and recursive mode extracting scheme for robust estimation of nonlinear chirplet modes and application to fault detection of rotary machine

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成果类型：

期刊论文

作者：

You, Guang-Hui;Lv, Yong;Ma, Yubo;Yi, Can-Can;Zhang, Yi

通讯作者：

Zhang, Y

作者机构：

[You, Guang-Hui; Lv, Yong; Ma, Yubo; Yi, Can-Can; Zhang, Yi; Zhang, Y] Wuhan Univ Sci & Technol, Minist Educ, Key Lab Met Equipment & Control Technol, Wuhan 430081, Peoples R China.

[You, Guang-Hui; Lv, Yong; Ma, Yubo; Yi, Can-Can; Zhang, Yi; Zhang, Y] Wuhan Univ Sci & Technol, Hubei Key Lab Mech Transmiss & Mfg Engn, Wuhan 430081, Peoples R China.

[You, Guang-Hui] Zhejiang Inst Mech & Elect Engn, Hangzhou 310053, Peoples R China.

[Ma, Yubo] Hubei Univ Arts & Sci, Hubei Longzhong Lab, Xiangyang 441000, Peoples R China.

[Zhang, Yi; Zhang, Y] Wuhan Polytech Univ, Sch Mech Engn, Wuhan 430023, Peoples R China.

通讯机构：

[Zhang, Y ] W

Wuhan Univ Sci & Technol, Minist Educ, Key Lab Met Equipment & Control Technol, Wuhan 430081, Peoples R China.

Wuhan Univ Sci & Technol, Hubei Key Lab Mech Transmiss & Mfg Engn, Wuhan 430081, Peoples R China.

Wuhan Polytech Univ, Sch Mech Engn, Wuhan 430023, Peoples R China.

语种：

英文

关键词：

time-frequency decomposition;variational nonlinear chirplet mode composition;local maximum synchrosqueezing transform;recursive mode extracting scheme;rub-impact

期刊：

Measurement Science And Technology

ISSN：

0957-0233

年：

2024

卷：

期：

DOI：

10.1088/1361-6501/ad108d

基金类别：

National Natural Science Foundation of China [51805382, 51875416]; Natural Science Foundation of Hubei Province [2020CFA033]; Teaching Reform Project of Zhejiang Province Vocational Education [jg20230096]; Research Project of Zhejiang Provincial Department of Education [Y202148122]; Science and Education Integration Project of Zhejiang Institute of Mechanical and Electrical Engineering [A-0271-22-207]; Talent Project of Hubei Provincial Department of Science and Technology [2023DJC099]; Open Fund of Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering at Wuhan University of Science and Technology [MTMEOF2023B03]

机构署名：

本校为通讯机构

院系归属：

机械工程学院

摘要：

As an advanced time-frequency (TF) decomposition (TFD) method, variational nonlinear chirplet mode decomposition (VNCMD) decomposes the original signal into a series of nonlinear chirplet modes (NCMs), such that the inherent characteristic information contained in the signal can be revealed effectively. However, the decomposition ability of VNCMD is largely affected by the prior instantaneous frequency (IF) and the pre-set parameters. In practical engineering applications, the presence of noise and interference components often complicates the accurate determination of prior IFs and appropriat...

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The improved variational nonlinear chirplet mode decomposition via local maximum synchrosqueezing transform and recursive mode extracting scheme for robust estimation of nonlinear chirplet modes and application to fault detection of rotary machine

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