论文成果
一种剖分平面多边形的通用算法描述
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关键字:fault diagnosis; distillation; two-tier; parameter estimation
摘要:In this paper, a two-tier model-based fault detection and diagnosis method for a distillation column is developed. It employs the nonlinear model developed earlier to monitor the distillation process and a corresponding linear model to identify an abnormal source when large deviations of measured values occur. The inner distillation fault parameters are estimated through linear least-square method based on the linear model. The proposed method is applied to the stripping tower in the Tennessee Eastman process simulator. Case studies demonstrate that the two-tier diagnosis structure effectively captures the variation of fault parameters and is more efficient than a pure nonlinear model-based structure.
卷号:91
期号:10
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田文德

教师拼音名称:tianwende

所属院系:环境与安全工程学院

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