Fluidized Bed Agglomeration Diagnosis Based on Wavelet Packet Entropy and Gaussian Test
Fluidized Bed Agglomeration Diagnosis Based on Wavelet Packet Entropy and Gaussian Test
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基于小波包熵和高斯检验的流化床团聚诊断
DOI：
10.1155/2016/4145373
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发表时间：
2016-03
影响因子：
2.3
通讯作者：
Qi Yuanhua
中科院分区：
文献类型：
--
作者：
Lin Weiguo;Wu Shuochen;Wu Haiyan;Mu Changli;Qi Yuanhua
针对流化床反应器乙烯聚合合成过程，提出了一种利用低频可听声信号小波包熵高斯检验进行聚合反应团聚监测和早期报警的方法。与高频声发射信号相比，可听声信号可以减少信号带宽，简化信号处理电路，便于实时测量和故障检测。与基于回归建模和模式识别的方法相比，该方法可以克服样本不足和诊断模型泛化能力弱造成的误报和漏报的缺陷，并且易于实现。中试工厂的实验验证了该方法的有效性，与生产装置上现有的方法（料位检测和温度测量）相比，可以实现早期预警。
Aiming at the synthesis process through the ethylene polymerization by virtue of fluidized bed reactors, this paper proposed a different approach for agglomeration monitoring and early alarming in polymerization reaction with Gaussian test of wavelet packet entropies from low-frequency audible acoustic signals. In comparison to high-frequency acoustic emission signals, audible acoustic signals can reduce the signal bandwidth, simplify the signal processing circuit, facilitate the real-time measurement, and fault detection. Compared with the approach based on regression modeling and pattern recognition, this approach can overcome the defects of false alarm and missing alarm caused by inadequate samples and weak generalization capability of diagnosis model and is easy to be implemented. Experiments in a pilot plant have verified the effectiveness of the approach, and earlier warning could be realized compared with the existing approaches on the production apparatus (material level detection and temperature measurement).
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影响因子：
2.3
作者：
Yunchuan Sun;Hongli Yan;Junsheng Zhang;Ye Xia;Shenling Wang;Rongfang Bie;Yingjie Tian
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影响因子：
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DOI：
10.1016/j.ijmultiphaseflow.2009.06.010
发表时间：
2009-11
影响因子：
3.8
作者：
N. Salehi-Nik;R. Sotudeh-Gharebagh;N. Mostoufi;R. Zarghami;M. Mahjoob
通讯作者：
N. Salehi-Nik;R. Sotudeh-Gharebagh;N. Mostoufi;R. Zarghami;M. Mahjoob
影响因子：
5.8
作者：
Whitaker, M;Baker, GR;Collins, MP
通讯作者：
Collins, MP
DOI：
--
发表时间：
2005
期刊：
Journal of Chemical Industry and Engineering
影响因子：
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作者：
Huang Xiaoping
通讯作者：
Huang Xiaoping