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Proceedings Paper

Soft-sensing technique based on extension method
Author(s): Bin He; Xuefeng Zhu
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Paper Abstract

In soft-sensing technique, much attention has paid to the evaluation and optimization of secondary variables. But little attention has been paid to the problem how to choose suitable secondary variables, which is still open and seems difficult. Based on extension methods, which study the laws for opening-up things and solving incompatible problems, the paper presents a new kind of inferential estimator called extension inferential estimator, which integrates the routine inferential estimator with an extension regulator. In the extension inferential estimator, five extension methods for choosing secondary variables are developed: (1) to consider the measurement object and its transformation; (2) to consider the characteristic and its transformation; (3) to consider the measure and its transformation; (4) to consider the measurement principle or method and its transformation; (5) to consider the measurement tool or component and its transformation.

Paper Details

Date Published: 2 September 2003
PDF: 5 pages
Proc. SPIE 5253, Fifth International Symposium on Instrumentation and Control Technology, (2 September 2003); doi: 10.1117/12.521363
Show Author Affiliations
Bin He, South China Univ. of Technology (China)
Guangdong Univ. of Technology (China)
Xuefeng Zhu, South China Univ. of Technology (China)


Published in SPIE Proceedings Vol. 5253:
Fifth International Symposium on Instrumentation and Control Technology
Guangjun Zhang; Huijie Zhao; Zhongyu Wang, Editor(s)

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