Gray cognate analysis of comprossor's fault diagnosis

Weimin Zhang; Keyong Wang; Xinyi Wang

Gray cognate analysis of comprossor's fault diagnosis

Weimin Zhang^*
, Keyong Wang
, Xinyi Wang

^*此作品的通讯作者

机电学院

Beijing Institute of Technology

科研成果: 期刊稿件 › 文章 › 同行评审

摘要

This paper presented the application of gray cognate analysis in full-closed small compressor's fault diagnosis. The choise of characteristic parameters and its processing method, used in the application of gray cognate analysis to multi-parameter fault diagnosis, were discussed. The effect of gray cognate analysis method was proved through compressor fault dignosis experiments. Based on comparing with other diagnosis methods, the advantage of the gray cognate analysis method was summarized.

源语言	英语
页（从-至）	488-492
页数	5
期刊	Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
卷	17
期	4
出版状态	已出版 - 1997

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@article{321296ff281a42b69c88b89544b17cc7,

title = "Gray cognate analysis of comprossor's fault diagnosis",

abstract = "This paper presented the application of gray cognate analysis in full-closed small compressor's fault diagnosis. The choise of characteristic parameters and its processing method, used in the application of gray cognate analysis to multi-parameter fault diagnosis, were discussed. The effect of gray cognate analysis method was proved through compressor fault dignosis experiments. Based on comparing with other diagnosis methods, the advantage of the gray cognate analysis method was summarized.",

keywords = "Characteristic vector, Fault diagnosis, Gray cognate analysis, Gray system",

author = "Weimin Zhang and Keyong Wang and Xinyi Wang",

year = "1997",

language = "English",

volume = "17",

pages = "488--492",

journal = "Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology",

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T1 - Gray cognate analysis of comprossor's fault diagnosis

AU - Zhang, Weimin

AU - Wang, Keyong

AU - Wang, Xinyi

PY - 1997

Y1 - 1997

N2 - This paper presented the application of gray cognate analysis in full-closed small compressor's fault diagnosis. The choise of characteristic parameters and its processing method, used in the application of gray cognate analysis to multi-parameter fault diagnosis, were discussed. The effect of gray cognate analysis method was proved through compressor fault dignosis experiments. Based on comparing with other diagnosis methods, the advantage of the gray cognate analysis method was summarized.

AB - This paper presented the application of gray cognate analysis in full-closed small compressor's fault diagnosis. The choise of characteristic parameters and its processing method, used in the application of gray cognate analysis to multi-parameter fault diagnosis, were discussed. The effect of gray cognate analysis method was proved through compressor fault dignosis experiments. Based on comparing with other diagnosis methods, the advantage of the gray cognate analysis method was summarized.

KW - Characteristic vector

KW - Fault diagnosis

KW - Gray cognate analysis

KW - Gray system

UR - https://www.scopus.com/pages/publications/71149108886

M3 - Article

AN - SCOPUS:71149108886

SN - 1001-0645

VL - 17

SP - 488

EP - 492

JO - Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology

JF - Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology

IS - 4

ER -

Gray cognate analysis of comprossor's fault diagnosis

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