Aiming at the band of rolling bearing vibration signals getting wider, based on the traditional Shannon-Nyquist sampling theorem for data collection, it will get a huge amount of data and produce difficult problems of storage, transmission and processing, we propose a data compression and acquisition method. Firstly, analyzed the sparsity(also called compressibility) of the vibration signal based on orthogonal dictionary Fourier domain; then integrated sparse structure information of the vibration signal into the design of measurement matrix and got its optimized measurement matrix and measured; Finally, based on the compression measurements used orthogonal matching pursuit algorithm to reconstruct the original vibration signal. Through simulation experiments, the results show that the proposed method can get a higher signal compression ratio and has precise signal reconstruction performance, in the case of without losing vibration information, greatly reducing the original amount of vibration data.
Key words
the rolling bearing /
vibration signal /
compressed sensing /
measurement matrix；orth-ogonal dictionary
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References
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