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On-line Sizing of Pneumatically Conveyed Particles Through Acoustic Emission Detection and Signal Analysis

Hu, Yonghui, Wang, Lijuan, Huang, Xiaobin, Qian, Xiangchen, Gao, Lingjun, Yan, Yong (2015) On-line Sizing of Pneumatically Conveyed Particles Through Acoustic Emission Detection and Signal Analysis. IEEE Transactions on Instrumentation and Measurement, 64 (5). pp. 1100-1109. ISSN 0018-9456. (doi:10.1109/TIM.2014.2355653) (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)

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. (Contact us about this Publication)
Official URL
http://doi.org/10.1109/TIM.2014.2355653

Abstract

Accurate measurement of the particle size distribution of pneumatically conveyed pulverized fuel is critical to achieving optimal combustion efficiency and minimum pollutant emissions at coal and biomass-fired power plants. This paper presents a prototype instrumentation system for the on-line continuous measurement of particle size distribution through acoustic emission (AE) detection. The proposed method extracts particle size information from the impulsive AE signals arising from impacts of particles with a metallic waveguide protruding into the flow. The relationship between the particle size and the peak AE voltage is established through mathematical modeling of the particle impact process. Identification of the peak AE voltage is achieved with an energy-based peak detection algorithm. Experimental results obtained with glass beads demonstrate the capability of the system to discriminate particles of different sizes from the recorded AE signals. The system performs better in terms of accuracy for higher speed, lower concentration particles as the impact signals are stronger and better separated in the time domain.

Item Type: Article
DOI/Identification number: 10.1109/TIM.2014.2355653
Subjects: T Technology
T Technology > TA Engineering (General). Civil engineering (General) > TA166 Instrumentation
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: 07 May 2015 09:21 UTC
Last Modified: 29 May 2019 14:30 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/48285 (The current URI for this page, for reference purposes)
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