Measurement error analysis of online hydrogen conductivity meter

Abstract

Abstract:

It analyzes the influences on online hydrogen conductivity monitors brought by cationic resin, temperature compensation, electrode constant, electrode polarization and capacity effect. It suggestes that online hydrogen conductivity instrument should take the reasons above into consideration during its downtime. It should analysis the error factors precisely, take appropriate measures and improves the measurement accuracy.

Key words:

hydrogen conductivity, error, accuracy, online meter, measurement

ZHOU Yang，LI Liang，YU Yang，LIU Qinghua.

Measurement error analysis of online hydrogen conductivity meter

[J]. Huadian Technology, 2018, 40(6): 32-34.

[1]	WANG Zhe, CHENG Gang, XING Zuoxia, FU Qitong, FU Changtao. Modeling and control optimization of photovoltaic-thermal heating system based on MPC [J]. Integrated Intelligent Energy, 2024, 46(7): 21-28.
[2]	GAO Lianrui, CONG Mingyang, WANG Yuan, XU Haidong, XIE Hongtao, WANG Deren, ZHOU Zhigang. Optimization and applicability analysis on temperature measurement method for the heating system based on infrared remote sensing [J]. Integrated Intelligent Energy, 2023, 45(4): 59-68.
[3]	YONG Hezhong, ZHANG Ning, HUANG Wei, WEI Zheng, WU Yanling, ZHONG Wei. XGBoost-based regulation and prediction method for the heating station's heating system [J]. Integrated Intelligent Energy, 2023, 45(12): 36-42.
[4]	GAO Ming, HAO Yan. Ultra-short-term load forecasting based on BiLSTM network and error correction [J]. Integrated Intelligent Energy, 2023, 45(1): 31-40.
[5]	HU Qian, SUN Zhida, JIANG Keteng, LEI Yi, LI Haibo. Deviation assessment and control method for electricity sales companies based on short-term load bundling forecast [J]. Huadian Technology, 2021, 43(4): 47-55.
[6]	YANG Mingming. Research on wind turbine power curve based on Nacelle Transfer Function [J]. Huadian Technology, 2020, 42(5): 50-54.
[7]	HAN Yi, ZHANG Qiyue, WANG Yankai, YU Yingli, FU Xuchen, RONG Jun, DUAN Lunbo. Performance prediction on a 300 MW CFB based on BP neural network [J]. Huadian Technology, 2020, 42(12): 1-6.
[8]	MAO Yangjun. Model selection and installation of coupling for the LM series aeroderivative gas turbine generator [J]. Huadian Technology, 2019, 41(8): 15-19.
[9]	LI Haiyang，WANG Renlei，YOU Liangzhou，HENG Shiquan. Experimental study of dissolved oxygen’s effect on dissolved hydrogen analyzer of the main steam [J]. Huadian Technology, 2019, 41(7): 27-30.
[10]	WANG Gang. Design of antipurge device for improving the accuracy of boiler secondary air quantity measurement [J]. Huadian Technology, 2019, 41(6): 76-77.
[11]	YE Ziguo1, LI Chunhong2, WANG Rui2, RUAN Honghua1. The feasibility study on GFS rainfall forecast for flood forecasting in Gutian Basin [J]. Huadian Technology, 2018, 40(8): 1-4.
[12]	HUANG Chengbin, ZHANG Yulin. Method for improving measurement accuracy of soft ground backfilling project [J]. Huadian Technology, 2018, 40(8): 21-22.
[13]	YAN Huanhuan. Optimization and reform of flue gas continuous emission monitoring system [J]. Huadian Technology, 2018, 40(8): 69-71.
[14]	LI Silu1, LIU Yaowen2, YU Jingping3, FU Qiang2, LIU Haibo2, ZHOU Zhigang4, XUE Puning4, LIU Jing4. Research on data error detection method of heating system sensor [J]. Huadian Technology, 2018, 40(11): 1-4.
[15]	LEI Yang1,LAN Wei2, SHI Chao1,ZHANG Zhongquan2, LIU Yongzhao3. Measuring method for wind turbine tower slope based on random sample consensus algorithm [J]. Huadian Technology, 2018, 40(10): 4-7.

Measurement error analysis of online hydrogen conductivity meter

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments