Title :
Fault self-diagnosis for wireless networked sensor of robot based on fuzzy set theory
Author :
Chen, Bin ; Lei, Lin
Author_Institution :
Sch. of Electron. Inf. & Eng., Chengdu Univ., Chengdu, China
Abstract :
The possibility of wireless networked sensor used to monitor and control robot wireless network by Internet was discussed in this paper, and a novel fault self-diagnosis method and model for wireless networked sensor used in robot network based on the fuzzy theory was developed. The structure of wireless networked sensor, fault self-diagnosis method and model are introduced in detail. The fuzzy reasoning is a core of total diagnosis. To work out membership of state model through membership of state characteristic value, to draw a diagnosis conclusion by maximal membership or threshold were presented. Fault diagnosis of monitor and control system in high power microwave transmitter were chosen as objects of application and experiment. The results of practical application and simulate validate that correct rate of faults diagnosis can achieve 97.5%.
Keywords :
Internet; control engineering computing; fault diagnosis; fuzzy reasoning; fuzzy set theory; robots; wireless sensor networks; Internet; diagnosis conclusion; fault self-diagnosis method; fuzzy reasoning; fuzzy set theory; high power microwave transmitter; robot; state characteristic value; wireless networked sensor; Bluetooth; Circuit faults; Fault diagnosis; Robot sensing systems; Wireless communication; Wireless sensor networks; fault self-diagnosis; fuzzy theory; wireless networked sensor;
Conference_Titel :
Applied Superconductivity and Electromagnetic Devices (ASEMD), 2011 International Conference on
Conference_Location :
Sydney, NSW
Print_ISBN :
978-1-4244-7852-1
DOI :
10.1109/ASEMD.2011.6145063