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 | |
刊名 | Measurement Science and Technology |
2021-05-25 | |
卷号 | 32期号:8 |
关键词 | Electrical Sensing Zone Multiphase Microparticle Detection Wavelet Threshold Denoising Morphological Filtering Feature Recognition Hierarchical Clustering |
ISSN号 | 0957-0233 |
DOI | 10.1088/1361-6501/abe741 |
英文摘要 | 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. |
语种 | 英语 |
出版者 | IOP Publishing |
WOS记录号 | IOP:0957-0233-32-8-ABE741 |
内容类型 | 期刊论文 |
源URL | [http://ir.ipe.ac.cn/handle/122111/47703] |
专题 | 中国科学院过程工程研究所 |
通讯作者 | Wang,Xiaodong |
作者单位 | 1.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 |
推荐引用方式 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). |
个性服务 |
查看访问统计 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论