改进极限学习机的真空绝热板导热系数测量方法

夏荣菲; 陈宜飞; 冯勇建; Symbol

doi:10.11918/201811156

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改进极限学习机的真空绝热板导热系数测量方法

更新时间：2026-10-22

- 改进极限学习机的真空绝热板导热系数测量方法
- Measurement method of thermal conductivity of vacuum insulated panel based on improved ELM
- 哈尔滨工业大学学报 2020年52卷第3期页码：195-200
- 作者机构：
  
  厦门大学航空航天学院,福建,厦门,361005
- 作者简介：
- 基金信息：
  
  福建省重大科技计划项目(2010H6025)
- DOI：10.11918/201811156
  中图分类号： TP216
- 纸质出版：2020
- 稿件说明：
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夏荣菲, 陈宜飞, 冯勇建, 等. 改进极限学习机的真空绝热板导热系数测量方法[J]. 哈尔滨工业大学学报, 2020,52(3):195-200.

XIA Rongfei, CHEN Yifei, FENG Yongjian. Measurement method of thermal conductivity of vacuum insulated panel based on improved ELM[J]. 2020, 52(3): 195-200.
夏荣菲, 陈宜飞, 冯勇建, 等. 改进极限学习机的真空绝热板导热系数测量方法[J]. 哈尔滨工业大学学报, 2020,52(3):195-200. DOI： 10.11918/201811156.

XIA Rongfei, CHEN Yifei, FENG Yongjian. Measurement method of thermal conductivity of vacuum insulated panel based on improved ELM[J]. 2020, 52(3): 195-200. DOI： 10.11918/201811156.

摘要

针对目前真空绝热板导热系数测量时间较长、成本昂贵等问题

提出一种埋入热流计快速测量真空绝热板（VIP）导热系数的方法. 首先应用ANSYS仿真证明了测量原理的可行性

建立了VIP导热系数测量系统

以获取内部压力不同VIP的输出信号频率变化值. 然后

通过埋入真空绝热板内传感器因温度变化引起的输出信号频率变化与导热系数之间的关系

对真空绝热板的质量和寿命作出评价. 最后

利用基于岭回归方法改进了极限学习机的模型（RRELM）

提高了极限学习机（ELM）的泛化能力. 实验结果表明:埋入热流计法可以实现VIP导热系数的快速测量

且与传统极限学习机相比

提出的RRELM模型通过修正导热系数与输出信号频率变化之间的关系

具有更高的测量精度.

Abstract

In view of the problems existing in the measuring process of thermal conductivity of vacuum insulated panel(VIP)

such as long test time and high cost

an embedded heat flow meter method for the thermal conductivity measurement of VIP was proposed. First

the feasibility of the measuring principle was verified by ANSYS

and the measurement systems for the thermal conductivity of VIP were established to obtain the output signal frequency change of VIP with different internal pressures. Then

the quality and service life of VIP was evaluated based on the relationship between output signal frequency change of oscillating circuit caused by temperature change and thermal conductivity. Finally

rigid regression was utilized to improve the extreme learning machine model (RRELM) and the generalization ability of extreme learning machine (ELM). Experiments show that the embedded heat flow meter method could realize the rapid thermal conductivity measurement of VIP. Compared with the traditional ELM

the proposed RRELM model could effectively amend the relationship between the thermal conductivity and output signal frequency change with higher precision.

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