Genetic algorithms in compressor failure diagnosis

Jian Ping Ci; Wei Min Zhang; Rong Qi Na; Hua Tang

Genetic algorithms in compressor failure diagnosis

Jian Ping Ci^*
, Wei Min Zhang
, Rong Qi Na
, Hua Tang

^*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

Compressor fault diagnosis is studied with the aid of genetic algorithms (GA). Through GA the optimal combination of the characteristic parameters is searched and the compressor fault distinguished. The diagnosis precision can thus be increased. Optimal combination by GA has been used to distinguish different faults and proved to be effective to compressor fault diagnosis as well as to machine fault diagnosis in general.

源语言	英语
页（从-至）	310-313
页数	4
期刊	Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
卷	21
期	3
出版状态	已出版 - 2001

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title = "Genetic algorithms in compressor failure diagnosis",

abstract = "Compressor fault diagnosis is studied with the aid of genetic algorithms (GA). Through GA the optimal combination of the characteristic parameters is searched and the compressor fault distinguished. The diagnosis precision can thus be increased. Optimal combination by GA has been used to distinguish different faults and proved to be effective to compressor fault diagnosis as well as to machine fault diagnosis in general.",

keywords = "Compressor, Fault diagnosis, Genetic algorithms",

author = "Ci, \{Jian Ping\} and Zhang, \{Wei Min\} and Na, \{Rong Qi\} and Hua Tang",

year = "2001",

language = "English",

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TY - JOUR

T1 - Genetic algorithms in compressor failure diagnosis

AU - Ci, Jian Ping

AU - Zhang, Wei Min

AU - Na, Rong Qi

AU - Tang, Hua

PY - 2001

Y1 - 2001

N2 - Compressor fault diagnosis is studied with the aid of genetic algorithms (GA). Through GA the optimal combination of the characteristic parameters is searched and the compressor fault distinguished. The diagnosis precision can thus be increased. Optimal combination by GA has been used to distinguish different faults and proved to be effective to compressor fault diagnosis as well as to machine fault diagnosis in general.

AB - Compressor fault diagnosis is studied with the aid of genetic algorithms (GA). Through GA the optimal combination of the characteristic parameters is searched and the compressor fault distinguished. The diagnosis precision can thus be increased. Optimal combination by GA has been used to distinguish different faults and proved to be effective to compressor fault diagnosis as well as to machine fault diagnosis in general.

KW - Compressor

KW - Fault diagnosis

KW - Genetic algorithms

UR - https://www.scopus.com/pages/publications/71149100033

M3 - Article

AN - SCOPUS:71149100033

SN - 1001-0645

VL - 21

SP - 310

EP - 313

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

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

IS - 3

ER -

Genetic algorithms in compressor failure diagnosis

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