Title :
Fault Diagnosis Platform For Radar Circuit Based on Virtual Instrument
Author :
Xie Guang-jun ; Yan Shi-qiang ; Tang Zi-yue ; Rui Li
Author_Institution :
Air & Space Borne Early Warning & surveillance Equip. Dept., Air Force Radar Acad., Wuhan, China
Abstract :
In order to improve the efficiency of the Radar circuit maintenance, in this paper, based on PXI & GPIB Hybrid Bus and virtual instrument technology, a fault diagnosis platform for Radar circuit is developed, and also a fuzzy fault tree reasoning algorithm is presented. This platform is composed of two parts: hardware and software. The hardware consists of a built-in controller and 3 kind of virtual instruments which are digital storage oscilloscope, digital multimeter and spectrum analyzer. The software is constructed by a fuzzy fault tree reasoning algorithm and an expert knowledge database which includes 198 fault tree flow charts of 20-style Radars. By experiment of this platform, the result shows that, with virtual instruments, fuzzy fault tree reasoning algorithm and expert knowledge database, the platform can locate the Radar circuit fault effectively.
Keywords :
diagnostic expert systems; fault diagnosis; fault trees; fuzzy reasoning; radar computing; radar equipment; virtual instrumentation; GPIB Hybrid Bus; PXI; built-in controller; digital multimeter; digital storage oscilloscope; expert knowledge database; fault diagnosis platform; fuzzy fault tree reasoning algorithm; radar circuit maintenance; spectrum analyzer; virtual instrument technology; Circuits; Databases; Fault diagnosis; Fault trees; Fuzzy reasoning; Hardware; Instruments; Oscilloscopes; Radar; Spectral analysis; Fault diagnosis; Fuzzy reasoning; PXI bus; Radar; Virtual instrument;
Conference_Titel :
Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on
Conference_Location :
Changsha City
Print_ISBN :
978-1-4244-5001-5
Electronic_ISBN :
978-1-4244-5739-7
DOI :
10.1109/ICMTMA.2010.470
