Signal recognition of blade faults

Jia zhong Zhang; Guo bin Zhang; Min qiang Xu; Bao dong Sun

Signal recognition of blade faults

Jia zhong Zhang^*
, Guo bin Zhang
, Min qiang Xu
, Bao dong Sun

^*Corresponding author for this work

School of Astronautics

Harbin Institute of Technology

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

1 Scopus citations

Abstract

The monitoring of blades is a very important problem for the safety of blade machinery running at high speed. A method has been developed to analyse and recognize the signals of blade faults, based on symmetry principle and similarity principle, making use of the means, variance, and means of variance to eliminate the effects caused by the parameter differences between blades, the trend curves of means of variances will distinguish the bad blades from the normal blades.

Original language	English
Pages (from-to)	59-63
Number of pages	5
Journal	Modelling, simulation & control. B
Volume	54
Issue number	1-2
State	Published - 1994

Cite this

@article{31f2a45b1e5a4dccbb1e800b2c5a38d1,

title = "Signal recognition of blade faults",

abstract = "The monitoring of blades is a very important problem for the safety of blade machinery running at high speed. A method has been developed to analyse and recognize the signals of blade faults, based on symmetry principle and similarity principle, making use of the means, variance, and means of variance to eliminate the effects caused by the parameter differences between blades, the trend curves of means of variances will distinguish the bad blades from the normal blades.",

author = "Zhang, \{Jia zhong\} and Zhang, \{Guo bin\} and Xu, \{Min qiang\} and Sun, \{Bao dong\}",

year = "1994",

language = "英语",

volume = "54",

pages = "59--63",

journal = "Modelling, simulation \& control. B",

issn = "0761-2516",

publisher = "AMSE Press",

number = "1-2",

}

TY - JOUR

T1 - Signal recognition of blade faults

AU - Zhang, Jia zhong

AU - Zhang, Guo bin

AU - Xu, Min qiang

AU - Sun, Bao dong

PY - 1994

Y1 - 1994

N2 - The monitoring of blades is a very important problem for the safety of blade machinery running at high speed. A method has been developed to analyse and recognize the signals of blade faults, based on symmetry principle and similarity principle, making use of the means, variance, and means of variance to eliminate the effects caused by the parameter differences between blades, the trend curves of means of variances will distinguish the bad blades from the normal blades.

AB - The monitoring of blades is a very important problem for the safety of blade machinery running at high speed. A method has been developed to analyse and recognize the signals of blade faults, based on symmetry principle and similarity principle, making use of the means, variance, and means of variance to eliminate the effects caused by the parameter differences between blades, the trend curves of means of variances will distinguish the bad blades from the normal blades.

UR - https://www.scopus.com/pages/publications/0028565650

M3 - 文章

AN - SCOPUS:0028565650

SN - 0761-2516

VL - 54

SP - 59

EP - 63

JO - Modelling, simulation & control. B

JF - Modelling, simulation & control. B

IS - 1-2

ER -

Signal recognition of blade faults

Abstract

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