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Estimating the Alumina Concentration During Aluminum Electrolysis by Identifying the Sensitive Frequency Band Using Marginal Kurtosis

机译:通过使用边缘峰度识别敏感频带,估计铝电解期间的氧化铝浓度

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摘要

The accurate and timely online estimation of the alumina concentration in an industrial aluminum electrolysis cell can improve its feed control performance. By using the proposed marginal kurtosis (MK), marginal kurtosis dominant frequency (MK-DF), integral feed frequency and sensitive frequency band (SFB), this study reveals that a normalized cell voltage with different current intensities and feed schemes has different alumina concentration SFBs and determines the general formula for calculating the SFB. On this basis, a general algorithm for acquiring the pseudo alumina concentration (PAC) using translation-invariant filtering is proposed in which the upper limit of the SFB provides the cutoff frequency of the low-pass filter. The PAC was used to estimate the absolute and relative concentrations of alumina. The absolute concentrations are validated using measured concentrations. Additionally, improved feed control performance of the industrial cells is presented using the relative concentration PAC-slope.
机译:工业铝电解槽中氧化铝浓度的准确和及时的在线估算可以改善其进料控制性能。通过使用所提出的边缘峰(MK),边缘峰峰占频率(MK-DF),整体馈电频率和敏感频段(SFB),本研究表明,具有不同电流强度和进料方案的归一化电池电压具有不同的氧化铝浓度SFB并确定用于计算SFB的通式。在此基础上,提出了一种使用转换不变滤波获取伪氧化铝浓度(PAC)的一般算法,其中SFB的上限提供了低通滤波器的截止频率。 PAC用于估计氧化铝的绝对和相对浓度。使用测量的浓度验证绝对浓度。另外,使用相对浓度PAC斜率提出了产业电池的改善的进料控制性能。

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