GUO Qinghua. Diagnosis and recognition of vibration interference in distributed laser methane detection system[J]. Industry and Mine Automation, 2018, 44(8): 1-6. doi: 10.13272/j.issn.1671-251x.2018030088
Citation: GUO Qinghua. Diagnosis and recognition of vibration interference in distributed laser methane detection system[J]. Industry and Mine Automation, 2018, 44(8): 1-6. doi: 10.13272/j.issn.1671-251x.2018030088

Diagnosis and recognition of vibration interference in distributed laser methane detection system

doi: 10.13272/j.issn.1671-251x.2018030088
  • Publish Date: 2018-08-10
  • In order to eliminate influences of external vibration on distributed laser methane detection system, based on analysis of frequency characteristics of vibration waveform and influences of vibration on physical properties of fiber and methane detection, a vibration waveform recognition algorithm based on real-time sampling signal and set frequency signal was proposed. The algorithm can effectively identify external vibration waveforms with different frequencies by steps including Fourier transform, cross-correlation operation, maximum similarity coefficient judgment and methane concentration calculation, and then the vibration waveform can be accurately deleted and the influences of external vibration on methane concentration measurement can be eliminated. The laboratory test and industrial test results show that the algorithm can effectively identify the vibration interference with different frequencies and avoid measurement error introduced by vibration signal.

     

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      沈阳化工大学材料科学与工程学院 沈阳 110142

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