QQ客服 官方微博 反馈留言

	A revised Hilbert-Huang transformation based on the neural networks and its application in vibration signal analysis of a deployable structure
	Xun, Jian ; Yan, Shaoze
	2010-05-10 ; 2010-05-10 ; OCT
关键词	vibration empirical mode decomposition Hilbert-Huang transform neural networks deployable structure solar array NONLINEAR WATER-WAVES FLEXIBLE SOLAR-ARRAY TIME-SERIES ANALYSIS DYNAMIC-RESPONSE SIMULATION DEPLOYMENT ALGORITHM SPECTRUM Engineering, Mechanical
中文摘要	A revised Hilbert-Huang method is proposed to deal with the non-linear and non-stationary signals generated from any kinds of the sensors, in order to overcome shortcomings of the Hilbert-Huang method, such as the end swings problem and the undesired intrinsic mode functions (IMFs) at the low-frequency range. Firstly, a radial basis function neural network is used as a pre-processor to extend the length of the signal at the both ends. Secondly, the empirical mode decomposition is applied to obtain IMFs. Thirdly, the selection process is employed to select the optimal IMFs. Finally, an energy-frequency-time distribution can be gained after the Hilbert transformation. Two simulated signals are analyzed to explain the pre- and the post-processor, respectively, by using the above two techniques. The efficiencies of the different bases are compared, and the length of signal extended is analyzed. The correlation coefficients between the analyzed signal and the IMFs are introduced to eliminate the undesired IMFs. In this paper, the revised HHT method has been applied to analyze vibration signals of a deployable structure. A simulated solar array setup is built, which contains six parts: the basal body, a locked mechanism, the synchronism mechanism, the connection joints, the driven parts, and two simulated panels. Vibration signals of the solar array setup in the deployed case that is knocked by a single impulse oil the middle of the second panel are estimated, and the results show that the revised Hilbert-Huang method is efficient for non-linear and non-stationary signal analysis. (C) 2008 Elsevier Ltd. All rights reserved.
语种	英语 ; 英语
出版者	ACADEMIC PRESS LTD ELSEVIER SCIENCE LTD ; LONDON ; 24-28 OVAL RD, LONDON NW1 7DX, ENGLAND
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/24693]
专题	清华大学
推荐引用方式 GB/T 7714	Xun, Jian,Yan, Shaoze. A revised Hilbert-Huang transformation based on the neural networks and its application in vibration signal analysis of a deployable structure[J],2010, 2010, OCT.
APA	Xun, Jian,&Yan, Shaoze.(2010).A revised Hilbert-Huang transformation based on the neural networks and its application in vibration signal analysis of a deployable structure..
MLA	Xun, Jian,et al."A revised Hilbert-Huang transformation based on the neural networks and its application in vibration signal analysis of a deployable structure".(2010).

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。