RNN视觉分析在火电控制系统辨识中的应用

Q3 Computer Science

计算机辅助设计与图形学学报 Pub Date : 2021-12-01 DOI:10.3724/sp.j.1089.2021.19268

L. Ji, Yun Yang, S. Qiu, Yi Wang, Bin Tian

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引用次数: 0

摘要

针对火电控制过程中产生的数据连续性强、复杂度高等问题，提出了强时变实时序列与隐藏单元之间的模式。通过使用真实电厂数据进行案例研究，验证了iaRNN在帮助用户了解模型工作机制和诊断模型缺陷方面的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Visual Analytics of RNN for Thermal Power Control System Identification

: Due to the problems such as strong continuity and high complexity of the data generated by the thermal power control process, patterns between strong time-dependent real-valued time series and hidden units is proposed. A case study using real power plant data is conducted to verify the effectiveness of iaRNN in assisting users to understand the working mechanism of the model and diagnose model defects.

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来源期刊

计算机辅助设计与图形学学报 Computer Science-Computer Graphics and Computer-Aided Design

CiteScore

1.20

自引率

0.00%

发文量

6833

期刊介绍：