Izvorni znanstveni članak
https://doi.org/10.1080/00051144.2018.1541644
Time-efficient fault detection and diagnosis system for analog circuits
Qiwu Luo
; School of Electrical Engineering and Automation, Hefei University of Technology, Hefei, People’s Republic of China
Yigang He
; School of Electrical Engineering and Automation, Hefei University of Technology, Hefei, People’s Republic of China
Yichuang Sun
; School of Engineering and Technology, University of Hertfordshire, Hatfield, UK
Sažetak
Time-efficient fault analysis and diagnosis of analog circuits are the most important prerequisites to achieve online health monitoring of electronic equipments, which are involving continuing challenges of ultra-large-scale integration, component tolerance, limited test points but multiple faults. This work reports an FPGA (field programmable gate array)-based analog fault diagnostic system by applying two-dimensional information fusion, two-port network analysis and interval
math theory. The proposed system has three advantages over traditional ones. First, it possesses high processing speed and smart circuit size as the embedded algorithms execute parallel on FPGA. Second, the hardware structure has a good compatibility with other diagnostic algorithms. Third, the equipped Ethernet interface enhances its flexibility for remote monitoring and controlling. The experimental results obtained from two realistic example circuits indicate that the
proposed methodology had yielded competitive performance in both diagnosis accuracy and time-effectiveness, with about 96% accuracy while within 60 ms computational time.
Ključne riječi
Dijagnostika kvara; FPGA; ortogonalna tehnika; fuzija informacija; analogni sklopovi
Hrčak ID:
225205
URI
Datum izdavanja:
12.12.2018.
Posjeta: 817 *