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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

Puni tekst: engleski, pdf (2 MB) str. 302-310 preuzimanja: 166* citiraj
APA 6th Edition
Luo, Q., He, Y. i Sun, Y. (2018). Time-efficient fault detection and diagnosis system for analog circuits. Automatika, 59 (3-4), 302-310. https://doi.org/10.1080/00051144.2018.1541644
MLA 8th Edition
Luo, Qiwu, et al. "Time-efficient fault detection and diagnosis system for analog circuits." Automatika, vol. 59, br. 3-4, 2018, str. 302-310. https://doi.org/10.1080/00051144.2018.1541644. Citirano 20.09.2020.
Chicago 17th Edition
Luo, Qiwu, Yigang He i Yichuang Sun. "Time-efficient fault detection and diagnosis system for analog circuits." Automatika 59, br. 3-4 (2018): 302-310. https://doi.org/10.1080/00051144.2018.1541644
Harvard
Luo, Q., He, Y., i Sun, Y. (2018). 'Time-efficient fault detection and diagnosis system for analog circuits', Automatika, 59(3-4), str. 302-310. https://doi.org/10.1080/00051144.2018.1541644
Vancouver
Luo Q, He Y, Sun Y. Time-efficient fault detection and diagnosis system for analog circuits. Automatika [Internet]. 2018 [pristupljeno 20.09.2020.];59(3-4):302-310. https://doi.org/10.1080/00051144.2018.1541644
IEEE
Q. Luo, Y. He i Y. Sun, "Time-efficient fault detection and diagnosis system for analog circuits", Automatika, vol.59, br. 3-4, str. 302-310, 2018. [Online]. https://doi.org/10.1080/00051144.2018.1541644

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
https://hrcak.srce.hr/225205

Posjeta: 248 *