Restoration of Clipped Vibration Signal Based on BP Neural Network

Author

Li Chun-zhi ; Zhu Chang-chun ; Tian Guang-ming

Author_Institution

Inst. of Struct. Mech., CAEP, Mianyang, China

Volume

3

fYear

2010

fDate

13-14 March 2010

Firstpage

251

Lastpage

253

Abstract

The new method of BP neural network and its application in restoration of vibration clipped data are briefly introduced. According to the familiar phenomenon of clipped data during vibration and shock engineering testing, it is calculated and restored through modeling and function approaching by BP network with the right information in clipped data. Simulation result and practical application show that the method is available, and it is proved to an effective data processing method to resume the clipped in vibration signal.

Keywords

backpropagation; dynamic testing; mechanical engineering computing; neural nets; signal restoration; vibrations; BP neural network; clipped vibration signal; data processing method; shock engineering testing; vibration clipped data restoration; Artificial neural networks; Electric shock; Mechanical variables measurement; Mechatronics; Neural networks; Signal processing; Signal processing algorithms; Signal restoration; Testing; Vibration measurement; BP neural network; Matlab; clipped data; vibration signal;

fLanguage

English

Publisher

ieee

Conference_Titel

Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on

Conference_Location

Changsha City

Print_ISBN

978-1-4244-5001-5

Electronic_ISBN

978-1-4244-5739-7

Type

conf

DOI

10.1109/ICMTMA.2010.795

Filename

5458631