Particle size measurement in gas-solid two-phase flow using acoustic sensors

Guo, Miao, Yan, Yong, Hu, Yonghui, Sun, Duo, Qian, Xiangcheng, Han, Xiaojuan (2013) Particle size measurement in gas-solid two-phase flow using acoustic sensors. In: AIP Conf. Proc. (1592). pp. 302-308. (doi:10.1063/1.4872119) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

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Official URL
http://dx.doi.org/10.1063/1.4872119

Abstract

Acoustic Emission (AE) technology is a promising way to non-intrusively measure the size of particles in pneumatic conveying pipelines. In AE-based particle sizing, extracting representative features from an AE signal and establishing the relationship between the features and particle size are essential. In this paper, AE signals from particles of different sizes are collected from a gas-solid flow test rig. Wavelet analysis is used to denoise the signals. The denoising performance of different wavelet parameters (wavelet function, decomposition level and thresholding) is compared based on signal-to-noise ratio and signal smoothness. The particle size is predicted through a neural network with energy fraction features extracted through wavelet analysis as the network inputs. Experimental results demonstrate that the relative error of the particle sizing system is no greater than 23%.

Item Type: Conference or workshop item (Paper)
DOI/Identification number: 10.1063/1.4872119
Subjects: T Technology
Divisions: Faculties > Sciences > School of Engineering and Digital Arts
Faculties > Sciences > School of Engineering and Digital Arts > Instrumentation, Control and Embedded Systems
Depositing User: Tina Thompson
Date Deposited: 12 Jun 2014 09:23 UTC
Last Modified: 29 May 2019 12:40 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/41400 (The current URI for this page, for reference purposes)
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