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A Cell Condition-Sensitive Frequency Segmentation Method Based on the Sub-Band Instantaneous Energy Spectrum of Aluminum Electrolysis Cell Voltage
Engineering ( IF 12.8 ) Pub Date : 2021-07-28 , DOI: 10.1016/j.eng.2020.11.012
Zhaohui Zeng 1, 2 , Weihua Gui 1 , Xiaofang Chen 1 , Yongfang Xie 1 , Hongliang Zhang 3 , Yubo Sun 1
Affiliation  

Cell voltage is a widely used signal that can be measured online from an industrial aluminum electrolysis cell. A variety of parameters for the analysis and control of industrial cells are calculated using the cell voltage. In this paper, the frequency segmentation of cell voltage is used as the basis for designing filters to obtain these parameters. Based on the qualitative analysis of the cell voltage, the sub-band instantaneous energy spectrum (SIEP) is first proposed, which is then used to quantitatively represent the characteristics of the designated frequency bands of the cell voltage under various cell conditions. Ultimately, a cell condition-sensitive frequency segmentation method is given. The proposed frequency segmentation method divides the effective frequency band into the [0, 0.001] Hz band of low-frequency signals and the [0.001, 0.050] Hz band of low-frequency noise, and subdivides the low-frequency noise into the [0.001, 0.010] Hz band of metal pad abnormal rolling and the [0.01, 0.05] Hz band of sub-low-frequency noise. Compared with the instantaneous energy spectrum based on empirical mode decomposition, the SIEP more finely represents the law of energy change with time in any designated frequency band within the effective frequency band of the cell voltage. The proposed frequency segmentation method is more sensitive to cell condition changes and can obtain more elaborate details of online cell condition information, thus providing a more reliable and accurate online basis for cell condition monitoring and control decisions.



中文翻译:

一种基于铝电解槽电压子带瞬时能谱的槽况敏感分频方法

电解槽电压是一种广泛使用的信号,可以从工业铝电解槽在线测量。使用电池电压计算用于分析和控制工业电池的各种参数。在本文中,电池电压的频率分段被用作设计滤波器以获得这些参数的基础。在对电池电压进行定性分析的基础上,首先提出了子带瞬时能谱(SIEP),然后用它来定量表示电池电压在各种电池条件下的指定频段的特性。最终给出了一种小区条件敏感的频率分割方法。提出的频率分割方法将有效频带划分为低频信号的[0, 0.001] Hz频带和[0.001, 0. 050]Hz频段的低频噪声,将低频噪声细分为金属垫异常滚动的[0.001,0.010]Hz频段和亚低频噪声的[0.01,0.05]Hz频段。与基于经验模态分解的瞬时能谱相比,SIEP更精细地表示了电池电压有效频带内任意指定频带内能量随时间变化的规律。所提出的频率分割方法对细胞状态变化更加敏感,可以获得更精细的在线细胞状态信息细节,从而为细胞状态监测和控制决策提供更可靠和准确的在线依据。01, 0.05] Hz 亚低频噪声频带。与基于经验模态分解的瞬时能谱相比,SIEP更精细地表示了电池电压有效频带内任意指定频带内能量随时间变化的规律。所提出的频率分割方法对细胞状态变化更敏感,可以获得更精细的在线细胞状态信息细节,从而为细胞状态监测和控制决策提供更可靠和准确的在线依据。01, 0.05] Hz 亚低频噪声频带。与基于经验模态分解的瞬时能谱相比,SIEP更精细地表示了电池电压有效频带内任意指定频带内能量随时间变化的规律。所提出的频率分割方法对细胞状态变化更敏感,可以获得更精细的在线细胞状态信息细节,从而为细胞状态监测和控制决策提供更可靠和准确的在线依据。

更新日期:2021-07-28
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