DocumentCode :
3244609
Title :
Multiple robots data association with fault diagnosis in explosion test
Author :
Dong, Surong ; Zhou, Haiying
Author_Institution :
Sch. of Mechatron. Eng., North Univ. of China, Taiyuan, China
fYear :
2010
fDate :
20-21 Oct. 2010
Firstpage :
281
Lastpage :
284
Abstract :
In ground explosion test, due to the high temperature and pressure as well as the high shock wave current, it is required to be assisted by multiple robots to collect the data and survey the dangerous environment. A method making use of robot sensors to survey the test ground environment data and tracking propagation of shock wave through mobile robots is presented. Besides, an approach of multiple sensors data association is used to track diffraction propagation of shock waves at multi-explosive points. Due to the explosion shake, the measurement devices are easy to have faults, influencing the accuracy of measurement, therefore, to make use of robots implement the fault diagnosis is another important task. An explosion tunnel measurement system is taken as an example, by setting up a fault tree to assist the fault diagnosis. In addition, the process of knowledge base building is illustrated in the example.
Keywords :
explosions; fault diagnosis; industrial robots; mechanical testing; mobile robots; multi-robot systems; sensor fusion; sensors; shock waves; trees (mathematics); data association; explosion shake; explosion test; explosion tunnel measurement system; fault diagnosis; fault tree; knowledge base building process; mobile robots; multiple robots; robot sensors; shock wave propagation; Artificial neural networks; Robot sensing systems; explosion test; fault diagnosis; multiple robots;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Knowledge Acquisition and Modeling (KAM), 2010 3rd International Symposium on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-8004-3
Type :
conf
DOI :
10.1109/KAM.2010.5646147
Filename :
5646147
Link To Document :
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