ON-LINE SOFT SENSING FOR END POINT OF NAPHTHA BASED ON NEURAL NETWORK

Zhong Xuan; Wang Shuqing(State Key Lab of Industrial Control Technology

您当前的位置：

首页 >

文章列表页 >

ON-LINE SOFT SENSING FOR END POINT OF NAPHTHA BASED ON NEURAL NETWORK

更新时间：2025-12-16

- ON-LINE SOFT SENSING FOR END POINT OF NAPHTHA BASED ON NEURAL NETWORK
- CIESC Journal Issue 2, (1998)
- 作者机构：
  
  浙江大学工业控制技术国家重点实验室!杭州310027,浙江大学工业控制技术国家重点实验室,杭州,310027
- 作者简介：
- 基金信息：
- DOI：
  CLC： E624
- Online First：25 April 1998，
  
  Published：25 April 1998
- 稿件说明：
移动端阅览
Zhong Xuan, Wang Shuqing(State Key Lab of Industrial Control Technology. ON-LINE SOFT SENSING FOR END POINT OF NAPHTHA BASED ON NEURAL NETWORK[J]. CIESC Journal, 1998, (2).
DOI：

Zhong Xuan, Wang Shuqing(State Key Lab of Industrial Control Technology. ON-LINE SOFT SENSING FOR END POINT OF NAPHTHA BASED ON NEURAL NETWORK[J]. CIESC Journal, 1998, (2). DOI：

摘要

Abstract

A soft sensing strategy based on neural network is proposed for product quality of FCCU main fractionator.From the analysis of the process mechanism and the use of operating data

a neural network soft sensing model （static） was developed for the end point of naphtha.A dynamic error correction ele ment is supplemented.Long-time running shows that it can substitute conventional process analyzer and no measurement delay times is expected.

关键词

Keywords

references

Views

494

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Recent advances and perspectives on sulfide-based photocatalysts for hydrogen production

Prediction of biomass pyrolysis product yield based on machine learning algorithms

New universal corresponding state equation for correlation and extrapolation of saturated vapor-liquid density

Research on the characterization of the molecular weight and its distribution of perfluoropolyether

Optimization of heat storage and release cycle performance of Ca(OH)2/CaO indirect reactor

Related Author

No data

Related Institution

No data

⁰