Gray relational degree method for fault diagnosis based on envelope analysis

Z. Li; X. Chen; Z. Liu; Z. Zhang

Gray relational degree method for fault diagnosis based on envelope analysis

Z. Li
, X. Chen
, Z. Liu
, Z. Zhang

The Second Artillery No. 4 Inst.

科研成果: 期刊稿件 › 文章 › 同行评审

1 引用（Scopus）

摘要

The characteristic parameters in the time-domain are obtained by applying Gauss wavelet to envelope analysis (EA). By fuzzying these parameters and calculating the membership degree, fault characteristic vectors are designed and analyzed by gray relational degree (GRD), which could open a new way for fault classification and identification, including Diesel vibration diagnosis by combining the EA and fuzzy method with the GRD.

源语言	英语
页（从-至）	54-58+73
期刊	Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis
卷	21
期	1
出版状态	已出版 - 3月 2001
已对外发布	是

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title = "Gray relational degree method for fault diagnosis based on envelope analysis",

abstract = "The characteristic parameters in the time-domain are obtained by applying Gauss wavelet to envelope analysis (EA). By fuzzying these parameters and calculating the membership degree, fault characteristic vectors are designed and analyzed by gray relational degree (GRD), which could open a new way for fault classification and identification, including Diesel vibration diagnosis by combining the EA and fuzzy method with the GRD.",

keywords = "Envelope analysis, Fault diagnosis, Gray relational degree, Wavelet analysis",

author = "Z. Li and X. Chen and Z. Liu and Z. Zhang",

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AU - Chen, X.

AU - Liu, Z.

AU - Zhang, Z.

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N2 - The characteristic parameters in the time-domain are obtained by applying Gauss wavelet to envelope analysis (EA). By fuzzying these parameters and calculating the membership degree, fault characteristic vectors are designed and analyzed by gray relational degree (GRD), which could open a new way for fault classification and identification, including Diesel vibration diagnosis by combining the EA and fuzzy method with the GRD.

AB - The characteristic parameters in the time-domain are obtained by applying Gauss wavelet to envelope analysis (EA). By fuzzying these parameters and calculating the membership degree, fault characteristic vectors are designed and analyzed by gray relational degree (GRD), which could open a new way for fault classification and identification, including Diesel vibration diagnosis by combining the EA and fuzzy method with the GRD.

KW - Envelope analysis

KW - Fault diagnosis

KW - Gray relational degree

KW - Wavelet analysis

UR - https://www.scopus.com/pages/publications/0035270227

M3 - 文章

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SN - 1004-6801

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JO - Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis

JF - Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis

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Gray relational degree method for fault diagnosis based on envelope analysis

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