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

^*Corresponding author for this work

School of Mechatronical Engineering

Beijing Institute of Technology

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Pages (from-to)	310-313
Number of pages	4
Journal	Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
Volume	21
Issue number	3
Publication status	Published - 2001

Keywords

Compressor
Fault diagnosis
Genetic algorithms

Cite this

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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",

volume = "21",

pages = "310--313",

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

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publisher = "Beijing Institute of Technology",

number = "3",

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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 - http://www.scopus.com/inward/record.url?scp=71149100033&partnerID=8YFLogxK

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

Abstract

Keywords

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