Physical constraints fused equiangular tight frame method for Blade Tip Timing sensor arrangement
Physical constraints fused equiangular tight frame method for Blade Tip Timing sensor arrangement
复制标题
叶尖正时传感器布置的物理约束融合等角紧框架法
DOI:
10.1016/j.measurement.2019.05.107
复制
发表时间:
2019-10
期刊:
影响因子:
5.6
通讯作者:
Chen Xuefeng
中科院分区:
文献类型:
--
作者:
Wu Shuming;Zhao Zhibin;Yang Zhibo;Tian Shaohua;Yang Laihao;Chen Xuefeng
Blade Tip Timing (BTT) method is increasingly implemented for rotating blade health monitoring for its non-contact property. However, the BTT data is usually highly undersampled as only a few sensors could be installed on the case. Due to the limited number of sensors installed, the arrangement can have a significant impact on BTT data quality. Different from the exhaustive method used in previous researches, in this paper, a mathematical model guided by optimizing objective is proposed for sensor configuration. Considering the dimensional characteristics of the sampling matrix, this paper no longer uses a single matrix coherence value as the optimization target, but adopts the Equiangular tight frame matrix as the goal of the whole sampling matrix. Moreover, this paper first considers the physical constraints of the actual installation and modal prior on the sensor arrangement. The physical constraints fused equiangular tight frame method is then solved by an alternating minimization approach. In addition, considering the disadvantages of the previous vibration parameter identification algorithms in terms of amplitude recovery and noise filtering, an iterative reweighted L1-norm based parameter identification method is applied to obtain the vibration parameters from the highly undersampled BTT data with better amplitude reconstruction accuracy. Both the simulation and experiment results are given to verify the effectiveness of the developed methods.
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DOI:
10.1115/power2006-88239
发表时间:
2006
期刊:
--
影响因子:
--
作者:
K. Joung;Suk-Chul Kang;Ki-Seok Paeng;N. Park;Hongil Choi;Y. You;A. V. Flotow
通讯作者:
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DOI:
10.1109/phm.2017.8079253
发表时间:
2017-07
期刊:
2017 Prognostics and System Health Management Conference (PHM-Harbin)
影响因子:
--
作者:
Minghao Pan;F. Guan;Haifeng Hu;Yongmin Yang;Hailong Xu
通讯作者:
Minghao Pan;F. Guan;Haifeng Hu;Yongmin Yang;Hailong Xu
影响因子:
5.6
作者:
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通讯作者:
Jihong Pang
影响因子:
5.6
作者:
Wang, Yanxue;Xiang, Jiawei;He, Shuilong
通讯作者:
He, Shuilong
DOI:
--
发表时间:
2014
期刊:
Journal of Vibration Engineering
影响因子:
--
作者:
R. Szczepanik;E. Rokicki;R. Rzadkowski;L. Piechowski
通讯作者:
R. Szczepanik;E. Rokicki;R. Rzadkowski;L. Piechowski