Research of the Operational Modal Parameter Identification Technology and Application based on QICA

Aiming at the major difficulties of OMA method based on vibration signals such as low noise-robust ability,high subjective experience and poor accuracy in identifying parameters and more complex recognition method,a new method of OMA on the basis of QICA is studied.Through the LMS modal experimental...

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Main Authors: Zhang Rui, He Changde, Huang Jinying, Zhang Yongmei, Xue Chenyang, Zhang Wendong
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Transmission 2015-01-01
Series:Jixie chuandong
Online Access:http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2015.05.030
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author Zhang Rui
He Changde
Huang Jinying
Zhang Yongmei
Xue Chenyang
Zhang Wendong
author_facet Zhang Rui
He Changde
Huang Jinying
Zhang Yongmei
Xue Chenyang
Zhang Wendong
author_sort Zhang Rui
collection DOAJ
description Aiming at the major difficulties of OMA method based on vibration signals such as low noise-robust ability,high subjective experience and poor accuracy in identifying parameters and more complex recognition method,a new method of OMA on the basis of QICA is studied.Through the LMS modal experimental data algorithm analysis,the QICA modal parameter identification technology operates simply,and can effectively eliminate noise interference.Finally,regards taking of gearbox modal frequency of the five kinds of working condition recognized by the QICA as characteristic parameter of fault diagnosis,the changes of any kind of model frequency on gearbox fault working condition are compared and analyzed,and the goal of the fault identification is achieved.
format Article
id doaj-art-b30a4084c8784aa1aa94cafa85bc4b24
institution Kabale University
issn 1004-2539
language zho
publishDate 2015-01-01
publisher Editorial Office of Journal of Mechanical Transmission
record_format Article
series Jixie chuandong
spelling doaj-art-b30a4084c8784aa1aa94cafa85bc4b242025-01-10T14:07:18ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392015-01-013916917329916958Research of the Operational Modal Parameter Identification Technology and Application based on QICAZhang RuiHe ChangdeHuang JinyingZhang YongmeiXue ChenyangZhang WendongAiming at the major difficulties of OMA method based on vibration signals such as low noise-robust ability,high subjective experience and poor accuracy in identifying parameters and more complex recognition method,a new method of OMA on the basis of QICA is studied.Through the LMS modal experimental data algorithm analysis,the QICA modal parameter identification technology operates simply,and can effectively eliminate noise interference.Finally,regards taking of gearbox modal frequency of the five kinds of working condition recognized by the QICA as characteristic parameter of fault diagnosis,the changes of any kind of model frequency on gearbox fault working condition are compared and analyzed,and the goal of the fault identification is achieved.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2015.05.030
spellingShingle Zhang Rui
He Changde
Huang Jinying
Zhang Yongmei
Xue Chenyang
Zhang Wendong
Research of the Operational Modal Parameter Identification Technology and Application based on QICA
Jixie chuandong
title Research of the Operational Modal Parameter Identification Technology and Application based on QICA
title_full Research of the Operational Modal Parameter Identification Technology and Application based on QICA
title_fullStr Research of the Operational Modal Parameter Identification Technology and Application based on QICA
title_full_unstemmed Research of the Operational Modal Parameter Identification Technology and Application based on QICA
title_short Research of the Operational Modal Parameter Identification Technology and Application based on QICA
title_sort research of the operational modal parameter identification technology and application based on qica
url http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2015.05.030
work_keys_str_mv AT zhangrui researchoftheoperationalmodalparameteridentificationtechnologyandapplicationbasedonqica
AT hechangde researchoftheoperationalmodalparameteridentificationtechnologyandapplicationbasedonqica
AT huangjinying researchoftheoperationalmodalparameteridentificationtechnologyandapplicationbasedonqica
AT zhangyongmei researchoftheoperationalmodalparameteridentificationtechnologyandapplicationbasedonqica
AT xuechenyang researchoftheoperationalmodalparameteridentificationtechnologyandapplicationbasedonqica
AT zhangwendong researchoftheoperationalmodalparameteridentificationtechnologyandapplicationbasedonqica