DocumentCode :
553985
Title :
Notice of Retraction
A design of fault diagnose system for array infrared sensor based on data fusion technology
Author :
Li Qi ; Qiu Cheng
Author_Institution :
Sch. of Autom., Xian Univ. of Technol., Xi´an, China
Volume :
1
fYear :
2011
fDate :
26-28 July 2011
Firstpage :
5
Lastpage :
8
Abstract :
Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

Based on data fusion technology, a design of fault diagnose of array infrared sensor is proposed. The design is using multi-neural network to track status of every single sensor of the detect sensor system. Abstracting characteristic vectors to analysis, the method uses Support Vector Machine (SVM) to classify different kinds of situations for sensor failure. The simulation result shows that multi-neural network could track sensors´ status well and SVM could distinguish sensor failure efficiently. It is reward for the application on multi-sensor data fusion technology used in fault diagnose area.
Keywords :
computerised instrumentation; fault diagnosis; infrared detectors; neural nets; sensor fusion; support vector machines; array infrared sensor; fault diagnose system; multineural network; multisensor data fusion technology; support vector machine; Arrays; Artificial neural networks; Feature extraction; Heating; Infrared sensors; Support vector machines; Transducers; Array Infrared Sensor; Data Fusion Technology; Fault Diagnose; Multi-neural Network; Support Vector Machine;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation (ICNC), 2011 Seventh International Conference on
Conference_Location :
Shanghai
ISSN :
2157-9555
Print_ISBN :
978-1-4244-9950-2
Type :
conf
DOI :
10.1109/ICNC.2011.6022085
Filename :
6022085
Link To Document :
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