Estimation of Feeding Composition of Industrial Process Based on Data Reconciliation Article Swipe

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Yusi Luan , Mengxuan Jiang , Zhenxiang Feng , Bei Sun ·

YOU? · · 2021 · Open Access · · DOI: https://doi.org/10.3390/e23040473

For an industrial process, the estimation of feeding composition is important for analyzing production status and making control decisions. However, random errors or even gross ones inevitably contaminate the actual measurements. Feeding composition is conventionally obtained via discrete and low-rate artificial testing. To address these problems, a feeding composition estimation approach based on data reconciliation procedure is developed. To improve the variable accuracy, a novel robust M-estimator is first proposed. Then, an iterative robust hierarchical data reconciliation and estimation strategy is applied to estimate the feeding composition. The feasibility and effectiveness of the estimation approach are verified on a fluidized bed roaster. The proposed M-estimator showed better overall performance.

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Estimator Composition (language) Estimation Process (computing) Variable (mathematics) Computer science Robust statistics Statistics Mathematics Engineering Systems engineering Mathematical analysis Operating system Philosophy Linguistics

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Type: article
Language: en
Landing Page: https://doi.org/10.3390/e23040473
PDF: https://www.mdpi.com/1099-4300/23/4/473/pdf?version=1618824223
OA Status: gold
Cited By: 6
References: 37
Related Works: 10
OpenAlex ID: https://openalex.org/W3154707146

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DOI: https://doi.org/10.3390/e23040473

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Title: Estimation of Feeding Composition of Industrial Process Based on Data Reconciliation

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Type: article

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Language: en

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Publication year: 2021

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Publication date: 2021-04-16

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Authors: Yusi Luan, Mengxuan Jiang, Zhenxiang Feng, Bei Sun

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Landing page: https://doi.org/10.3390/e23040473

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Concepts: Estimator, Composition (language), Estimation, Process (computing), Variable (mathematics), Computer science, Robust statistics, Statistics, Mathematics, Engineering, Systems engineering, Mathematical analysis, Operating system, Philosophy, Linguistics

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Cited by: 6

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