关键词: FONT-SIZE: 10.5pt, mso-bidi-font-size: 11.0pt, mso-ascii-font-family: Times New Roman, mso-bidi-font-family: Times New Roman, mso-font-kerning: 1.0pt, mso-ansi-language: EN-US, mso-fareast-language: ZH-CN, mso-bidi-language: AR-SA">振动信号；积炭量；偏最小二乘回归；功率谱分析

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.

Key words: FONT-SIZE: 10.5pt, mso-bidi-font-size: 11.0pt, mso-ascii-font-family: Times New Roman, mso-bidi-font-family: Times New Roman, mso-font-kerning: 1.0pt, mso-ansi-language: EN-US, mso-fareast-language: ZH-CN, mso-bidi-language: AR-SA">振动信号；积炭量；偏最小二乘回归；功率谱分析