CAS OpenIR
A signal analysis and identification scheme for an online multiphase micron-sized particle analyzer system
Wang,Fuhai1; Cao,Hongjian1,2,3; Wang,Pingping1,2; Guo,Xiaokang1; Han,Jinlong3; Dong,Haifeng4; Zhang,Xiangping4; Wang,Xiaodong1
2021-05-25
Source PublicationMeasurement Science and Technology
ISSN0957-0233
Volume32Issue:8
Abstract

AbstractOnline microparticle detection is of utmost importance for industrial production. This paper proposes a signal processing and feature identification strategy to achieve particle size statistics for online measurement in a three-phase stirred tank reactor based on the electrical sensing zone (ESZ) method. Signal denoising and de-interference are achieved using the wavelet soft threshold method combined with mathematical morphological filtering. Pulse selection is implemented using pulse width limiting conditions. The key features that distinguish the pulse waveforms are defined based on the differences in the motion characteristics of the different types of particles through the aperture. Finally, the unsupervised classification algorithm balanced iterative reducing and clustering using hierarchies clustering is employed to distinguish the pulsed features between hard particles and bubbles. The results show that the particle size distribution identified by this strategy agrees with offline measurements indicating the effectiveness of the scheme. The effects of electromagnetic noise and the interference of small bubbles that approximate the particle size in solution in the online, in-situ measurement task are solved. This study scheme has a guiding and facilitating role in applying the ESZ principle to the industrial online measurement environment.

KeywordElectrical Sensing Zone Multiphase Microparticle Detection Wavelet Threshold Denoising Morphological Filtering Feature Recognition Hierarchical Clustering
DOI10.1088/1361-6501/abe741
Language英语
WOS IDIOP:0957-0233-32-8-abe741
PublisherIOP Publishing
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ipe.ac.cn/handle/122111/47704
Collection中国科学院过程工程研究所
Corresponding AuthorWang,Xiaodong
Affiliation1.Center of Materials Science and Optoelectronics Engineering, College of Materials Science and Opto-Electronic Technology, University of Chinese Academy of Sciences, Beijing 100049, People’s Republic of China
2.Sino-Danish College, University of Chinese Academy of Sciences, Beijing 100049, People’s Republic of China
3.Guang Wei (Zhongshan) Intelligent Technology Co, Zhongshan 528437, People’s Republic of China
4.Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, People’s Republic of China
Recommended Citation
GB/T 7714
Wang,Fuhai,Cao,Hongjian,Wang,Pingping,et al. A signal analysis and identification scheme for an online multiphase micron-sized particle analyzer system[J]. Measurement Science and Technology,2021,32(8).
APA Wang,Fuhai.,Cao,Hongjian.,Wang,Pingping.,Guo,Xiaokang.,Han,Jinlong.,...&Wang,Xiaodong.(2021).A signal analysis and identification scheme for an online multiphase micron-sized particle analyzer system.Measurement Science and Technology,32(8).
MLA Wang,Fuhai,et al."A signal analysis and identification scheme for an online multiphase micron-sized particle analyzer system".Measurement Science and Technology 32.8(2021).
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