Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Zhang Qiantu"'
FAULT DIAGNOSIS BASED ON MIXED LABEL INFORMATION LOCALITY PRESERVING PROJECTIONS DIMENSION REDUCTION
Publikováno v:
Jixie qiangdu, Vol 41, Pp 1054-1059 (2019)
In order to preserve the local structure of high dimension fault feature better, locality preserving projections（LPP） are improved and a fault diagnosis method based mixed label information locality preserving projections（MLILPP） for dimensio
Externí odkaz:
https://doaj.org/article/ceadae309adf4f5e9051d403499a9f0d
Publikováno v:
Jixie qiangdu, Vol 39, Pp 279-284 (2017)
Linear local tangent space alignment（ LLTSA） is an unsupervised dimension reduction method,which will lends to remaining overlaps between faults when it is used to high-dimension fault feature for dimension reduction due to its incapacity of usin
Externí odkaz:
https://doaj.org/article/788ca8a38f0a4e32b1df071d4dae32e4
Publikováno v:
Jixie chuandong, Vol 41, Pp 173-177 (2017)
Aiming at the fault diagnosis problem of rolling bearing,a fault diagnosis method of rolling bearing based on local characteristic-scale decomposition（LCD） cross approximate entropy（CAE） and relevance vector machine（RVM） is proposed. Firs
Externí odkaz:
https://doaj.org/article/361912e1a42d47708e7d9d816c7fe461
Autor:
ZHANG Liang, ZHANG QianTu
Publikováno v:
Jixie qiangdu, Vol 38, Pp 225-230 (2016)
Aiming at the fact that the vibration signal of hydraulic pump would exactly display non-stationary characteristics and fault features hard to extracted,a feature extraction method of hydraulic pump based on LCD（ local characteristic-scale decompos
Externí odkaz:
https://doaj.org/article/bf1bf4bbb9074b9e9f404a1af03fde78
Autor:
Zhang Qiantu, Fang Liqing
Publikováno v:
Jixie chuandong, Vol 39, Pp 42-45 (2015)
The feature extraction is crucial for fault diagnosis,although the existing feature extraction methods in time domain,frequency domain and time-frequency domain are effective,it is also necessary to find new methods in other domain.On the basis of th
Externí odkaz:
https://doaj.org/article/2d756b8110ab41619b5caebbdfff8fbb
Publikováno v:
Jixie chuandong, Vol 39, Pp 144-148 (2015)
A new approach for mechanical fault diagnosis based on local characteristic- scale decomposition（ LCD） information entropy feature and support vector machine（ SVM） is proposed. Firstly,the fault mechanical vibration signal is decomposed by us
Externí odkaz:
https://doaj.org/article/028cbf21477c4aaca723222216c76a89