DocumentCode :
3067461
Title :
A Multi-Sensor Fusion Method Applied to Stability Diagnosis Based on Distributed Neyman-Pearson Algorithm
Author :
Liu, Jie ; Du, Qingdong
Author_Institution :
Shenyang Normal Univ., Shenyang
Volume :
2
fYear :
2007
fDate :
26-28 Nov. 2007
Firstpage :
651
Lastpage :
654
Abstract :
A multi-sensor detection method based on distributed Neyman-Pearson detection method is discussed.By using this method, a primary decision was gotten from each vibration sensor of the axle and then transmitted to the fusion center. Infusion center the final decision about the stability of the axle was decided. The accuracy and the practicability of this method have been testified and it can be used broadly in similar field.
Keywords :
sensor fusion; signal detection; stability; axle stability; distributed Neyman-Pearson algorithm; multi-sensor fusion method; stability diagnosis; vibration sensor; Axles; Computer networks; Decision making; Distributed decision making; Educational institutions; Hydroelectric power generation; Monitoring; Sensor fusion; Software algorithms; Stability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Information Hiding and Multimedia Signal Processing, 2007. IIHMSP 2007. Third International Conference on
Conference_Location :
Kaohsiung
Print_ISBN :
978-0-7695-2994-1
Type :
conf
DOI :
10.1109/IIH-MSP.2007.36
Filename :
4457793
Link To Document :
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