Title :
Research on the anti-noise performance of different velocity measurement methods using electrostatic sensor in dilute phase gas-solid two-phase flow
Author :
Chao Wang ; Wei-Ping Wu ; Yi-Shun Zhang
Author_Institution :
Tianjin Key Lab. of Process Meas. & Control, Tianjin Univ., Tianjin, China
Abstract :
Pneumatic conveying system is widely used in industrial production process and the velocity of solid powder is an important parameter to describe these processes. However, Owing to the turbulence effect of flowing fluid in the pneumatic conveying pipeline and the high complexity of solid particle movement direction, the waveform similarity of flow noise signal received by upstream and downstream sensors will be reduced, which would lead to velocity measurement error or even measure difficultly. Consequently, it is very necessary to research the anti-noise performance of different time-delay measurement methods. The experiments on the gas-solid two-phase flow rig and the simulation software were conducted respectively. Thus, calculation-rates obtained by different correlation-calculation methods were compared to research the anti-noise performance with different SNR. Experimental results show that the based cross-correlation method and LMS adaptive filtering algorithm have an advantage over others on the anti-noise performance.
Keywords :
adaptive filters; conveyors; correlation methods; electric sensing devices; electrostatic devices; flow measurement; flow sensors; least mean squares methods; pipe flow; pipelines; pneumatic systems; turbulence; two-phase flow; velocity measurement; LMS adaptive filtering algorithm; SNR; antinoise performance; correlation-calculation method; dilute phase gas-solid two-phase flow rig; downstream sensor; electrostatic sensor; flow noise signal waveform similarity; flowing fluid turbulence effect; industrial production process; measurement error; pneumatic conveying pipeline system; solid particle movement direction; solid powder velocity; time-delay measurement method; upstream sensor; velocity measurement method; Abstracts; Detectors; Least squares approximations; Velocity measurement; Anti-noise performance; Dilute phase gas-solid two-phase flow; Electrostatic sensor; The least mean square (LMS); generalized cross-correlation (GCC);
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2013 International Conference on
Conference_Location :
Tianjin
DOI :
10.1109/ICMLC.2013.6890385