DocumentCode
3289240
Title
Notice of Violation of IEEE Publication Principles
Dynamic Compensation for Infrared Thermometer Based on Wiener Model and Immune Clone Selection Algorithm
Author
Wen-Jie Tian ; Lan Ai ; Yu Geng ; Ji-Cheng Liu
Author_Institution
Autom. Inst., Beijing Union Univ., Beijing, China
fYear
2009
fDate
16-17 May 2009
Firstpage
301
Lastpage
305
Abstract
Notice of Violation of IEEE Publication Principles
"Dynamic Compensation for Infrared Thermometer Based on Wiener Model and Immune Clone Selection Algorithm"
by WenJie Tian, Yu Geng, Lan Ai, JiCheng Lu
in 2009 Pacific-Asia Conference on Circuits, Communications and Systems (PACCS 2009), 2009, 301 – 305.
After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE\´s Publication Principles.
This paper contains significant portions of original text from the paper cited below. The original text was copied with insufficient attribution (including appropriate references to the original author(s) and/or paper title) and without permission.
Due to the nature of this violation, reasonable effort should be made to remove all past references to this paper, and future references should be made to the following article:
"Infrared thermometer sensor dynamic error compensation using Hammerstein neural network "
by Dehui Wu, Songling Huang, Wei Zhao, Junjun Xin
in Sensors and Actuators A: Physical, 2009, Pages 152 – 158
A novel structure of dynamic model is proposed in this paper and applied to construct a dynamic model to correct the dynamic errors of the infrared thermometer, because of which the dynamic performance of the thermometer is effectively improved. The dynamic compensator is established and the compensation is described and explicated by the Wiener model. According to Wiener model, the novel structure is devised. The identification of thermometer non-linear dynamic compensator is achieved by immune clone selection algorithm. The results show that the stabilizing time of the thermometer is reduced less than 7 ms from 26 ms and the dynamic performance is obviously improved after compensation.
"Dynamic Compensation for Infrared Thermometer Based on Wiener Model and Immune Clone Selection Algorithm"
by WenJie Tian, Yu Geng, Lan Ai, JiCheng Lu
in 2009 Pacific-Asia Conference on Circuits, Communications and Systems (PACCS 2009), 2009, 301 – 305.
After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE\´s Publication Principles.
This paper contains significant portions of original text from the paper cited below. The original text was copied with insufficient attribution (including appropriate references to the original author(s) and/or paper title) and without permission.
Due to the nature of this violation, reasonable effort should be made to remove all past references to this paper, and future references should be made to the following article:
"Infrared thermometer sensor dynamic error compensation using Hammerstein neural network "
by Dehui Wu, Songling Huang, Wei Zhao, Junjun Xin
in Sensors and Actuators A: Physical, 2009, Pages 152 – 158
A novel structure of dynamic model is proposed in this paper and applied to construct a dynamic model to correct the dynamic errors of the infrared thermometer, because of which the dynamic performance of the thermometer is effectively improved. The dynamic compensator is established and the compensation is described and explicated by the Wiener model. According to Wiener model, the novel structure is devised. The identification of thermometer non-linear dynamic compensator is achieved by immune clone selection algorithm. The results show that the stabilizing time of the thermometer is reduced less than 7 ms from 26 ms and the dynamic performance is obviously improved after compensation.
Keywords
compensation; infrared imaging; temperature measurement; temperature sensors; Wiener model; dynamic compensation; immune clone selection algorithm; infrared thermometer; Automation; Cloning; Frequency; Nonlinear distortion; Sensor phenomena and characterization; Temperature distribution; Temperature measurement; Temperature sensors; Thermal conductivity; Thermal resistance; Wiener model; compensation; identification; immune clone selection algorithm; infrared thermometer;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits, Communications and Systems, 2009. PACCS '09. Pacific-Asia Conference on
Conference_Location
Chengdu
Print_ISBN
978-0-7695-3614-9
Type
conf
DOI
10.1109/PACCS.2009.119
Filename
5232346
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