Title :
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
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;
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
DOI :
10.1109/ICMTMA.2010.795
