Open AccessCompressed sensing model for vibration signals of mechanical faults based on modulated wideband converters
Author(s) -
Hua Zhong,
Xiaobo Zuo,
Dongsheng Dai,
Xiaolong Liang
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1237/5/052001
Subject(s) - compressed sensing , wideband , nyquist–shannon sampling theorem , sampling (signal processing) , converters , vibration , computer science , nyquist rate , signal (programming language) , electronic engineering , signal reconstruction , control theory (sociology) , acoustics , signal processing , algorithm , engineering , telecommunications , physics , electrical engineering , artificial intelligence , digital signal processing , voltage , control (management) , detector , programming language
Based on Compressive Sampling, the Modulated Wideband Converter (MWC) sampling method can implement sampling at a rate lower than the required by Nyquist theory. This paper designs a spectrum reconstruction system, based on MWC, which can reconstruct the spectrum of Sparse-Frequency signal at the rate lower than Nyquist-Frequency, and verify through the simulation signals and the measured fault bearing vibration signals.