基于数字模型的软传感器

IF 0.6 4区计算机科学 Q4 AUTOMATION & CONTROL SYSTEMS

Automation and Remote Control Pub Date : 2023-10-01 DOI:10.1134/S0005117923070044

A. A. Chereshko

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引用次数: 0

摘要

本文提出了一种使用关联搜索算法获得的识别模型创建软传感器的方法。该方法包括在每个时刻构造输入向量空间及其相应的一维输出的近似超曲面。通过案例分析，揭示了作者的方法相对于传统方法的优势。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Soft Sensors Based on Digital Models

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Soft Sensors Based on Digital Models

The article proposes a method for creating soft sensors using identification models obtained by associative search algorithm. The method consists in constructing an approximating hypersurface of the space of input vectors and their corresponding one-dimensional outputs at each time instant. Case studies are presented and the advantages of the author’s method over traditional approaches are evaluated are revealed.

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来源期刊

Automation and Remote Control 工程技术-仪器仪表

CiteScore

1.70

自引率

28.60%

发文量

审稿时长

3-8 weeks

期刊介绍： Automation and Remote Control is one of the first journals on control theory. The scope of the journal is control theory problems and applications. The journal publishes reviews, original articles, and short communications (deterministic, stochastic, adaptive, and robust formulations) and its applications (computer control, components and instruments, process control, social and economy control, etc.).