Analog fault diagnosis based on ramping power supply current signature clusters

Author(s):  
S.A.S. Somayajula ◽  
E. Sanchez-Sinencio ◽  
J. Pineda de Gyvez
2018 ◽  
Vol 232 ◽  
pp. 04017
Author(s):  
Chaojie Zhang ◽  
Guo He ◽  
Jiankeng Yu ◽  
Xionglong Pan

Soft faults of analog circuits are more difficult to diagnose than hard faults because the soft faults are caused by the deviations of component parameters. Node voltages were traditionally used as the testing signals to diagnose analog circuits. With the rapid development of integrated circuits technology, fewer and fewer circuit nodes are accessible. Only the output voltage can be tested in many cases. This cries for other new accessible signal except for the traditional voltage signal. In this paper, the fault features of testing signal in both time-domain and frequency-domain are analysed. The output voltage was acquired firstly. Its fault features were extracted and used for fault diagnosis. The results show that the soft faults of Tow-Thomas filter cannot be uniquely located by using this output voltage only. Then a new accessible signal, which named dynamic power supply current, was acquired and its fault features were analysed. And the results were compared with those using output voltages. The comparing results show the validity of dynamic power supply current. This signal contains information related with the circuits’ topology and can be used for fault diagnosis of analog circuits.


Author(s):  
Leila Safari ◽  
Giuseppe Ferri ◽  
Shahram Minaei ◽  
Vincenzo Stornelli

Author(s):  
Michael G. Dimopoulos ◽  
Dimitris K. Papakostas ◽  
Alexios D. Spyronasios ◽  
Alkis A. Hatzopoulos ◽  
Dimitrios K. Konstantinou

2018 ◽  
Vol 67 ◽  
pp. 01015 ◽  
Author(s):  
Yutaro Akimoto ◽  
Shin-nosuke Suzuki

Fuel cells are a clean and weather-independent power supply. Solar and wind power are widespread in islands that are difficult to supply power. If problems are solved in the future, fuel cells are also expected to become popular. The widespread commercialization of PEMFC stacks depends on their reliability and fault diagnosis. In this study, we developed a degradation diagnosis method for the purpose of improving reliability. The output reduction of the fuel cell is separated into reduction factors called overpotentials. And the factor of the decrease is specified. In this paper, we show the proposed method and the degradation factors, and the effectiveness of the method.


2019 ◽  
Vol 68 (11) ◽  
pp. 10453-10464 ◽  
Author(s):  
Weiwei Kong ◽  
Yugong Luo ◽  
Zhaobo Qin ◽  
Yunlong Qi ◽  
Xiaomin Lian

Author(s):  
H Wijaya ◽  
S Wahyudi ◽  
R Soenoko ◽  
P H Setyarini ◽  
Sugiarto Yasid ◽  
...  

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