Fault Detection in a Continuous Pulp Digester
نویسندگان
چکیده
منابع مشابه
A Neural Network Approach for Diagnosis in a Continuous Pulp Digester
A strategy for detection of feedstock variations in a continuous pulp digester is presented. A Gaussian Radial Basis Function Neural Network is used to infer these unmeasured variations. The absence of plant data motivates the development of training set data. The efficiency and limitation of the approach is demonstrated with a first principles model.
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The continuous pulp digester represents a large-scale, distributed parameter system. Control of the spatial profile of degree of cooking, characterized by the Kappa number, rather than its endpoint value can effectively control properties that are dependent on the history of cooking. However, profile control of such large-scale distributed parameter systems throws up new challenges in estimatio...
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A strategy for detection of feedstock variations in a continuous pulp digester is presented. A Gaussian Radial Basis Function Neural Network is used to infer these unmeasured variations. The absence of plant data motivates the development of training set data. The efficiency and limitation of the approach is demonstrated with a first principles model.
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The design of control systems must be approached methodically if any success is to be obtained. Systematic control system design is highlighted in the discussion of implementation of a model based control system on a batch pulp digester at Sappi/Saiccor’s Umkomaas plant. Steps taken include modelling both system dynamics and controller performance, to ensure that the correct controller structur...
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ژورنال
عنوان ژورنال: IFAC Proceedings Volumes
سال: 2001
ISSN: 1474-6670
DOI: 10.1016/s1474-6670(17)33574-7