化工学报2011，Vol.62Issue(1)：78-84,7.
基于振动信号分析法的催化剂积炭量测量模型
A model for determination of amount of coke deposit on catalyst based on vibration signal analysis
摘要
Abstract
Based on the interaction between particles and the internal wall of the reactor and the method of partial least squares (PLS) regression, a PLS model is proposed to predict the amount of coke deposit on catalyst by analyzing the vibration signal power spectrum after denoising at specific superficial gas velocity. Cold model experiments showed that the PLS model was precise for measuring the amount of coke deposit on catalyst at different superficial gas velocities between 0.06-0. 12 m · s-1. The correlation coefficients of the model were all above 0. 893, and the values of the root mean square error of prediction (RMSEP) were all below 0. 51. Therefore, a sensitive, safe and environmental-friendly method to determine the amount of coke deposit on catalyst was acquired, which is applicable to the online measurement and monitoring of the amount of coke deposit on coked catalyst in reactors.关键词
振动信号/积炭量/偏最小二乘回归/功率谱分析Key words
vibration signal/ amount of coke deposit/ partial least squares regression/ power spectrum analysis分类
化学化工引用本文复制引用
唐玥祺,曹翌佳,王靖岱,阳永荣,蒋斌波,廖祖维..基于振动信号分析法的催化剂积炭量测量模型[J].化工学报,2011,62(1):78-84,7.基金项目
国家自然科学基金-石油化工联合基金项目(20736011) （20736011）
中央高校基本科研业务费专项资金项目(2009QNA4028). （2009QNA4028）
