Flexible reliability assessment of digital circuits based on signal probability

2018 ◽  
Vol 88 (13) ◽  
pp. 2528-2539
Author(s):  
Xingjian Xu ◽  
Tian Ban ◽  
Yuehua Li
2018 ◽  
Vol 28 (02) ◽  
pp. 1950032
Author(s):  
Xingjian Xu ◽  
Tian Ban ◽  
Yuehua Li

Reliability evaluation by using probabilistic computational models has become an important research field in modern digital designs. Based on the profound understanding of different reliability evaluation methods, this paper proposes a universal model for signal probability and reliability analysis of logic circuits. The proposed Signal Probability Level Matrix (SPLM) provides us with the reliability and signal probability of the entire circuit as well as individual outputs. We can deal with SPLM very flexibly depending on different applications and design constraints. The accuracy and efficiency of the proposed model have been proved and verified by representative circuits in literatures. Furthermore, the proposed model is particularly useful in reliability assessment in cascade-structure circuits such as ripple carry adders.


1988 ◽  
Vol 49 (C2) ◽  
pp. C2-459-C2-462 ◽  
Author(s):  
F. A.P. TOOLEY ◽  
B. S. WHERRETT ◽  
N. C. CRAFT ◽  
M. R. TAGHIZADEH ◽  
J. F. SNOWDON ◽  
...  
Keyword(s):  

2020 ◽  
Vol 26 (2) ◽  
pp. 327-348
Author(s):  
O.I. Razumova

Subject. The article considers ratings of banks' reliability. Objectives. The aim is to evaluate the accuracy of existing methodology for bank reliability assessment based on official reporting, to identify patterns between indicators and factors that can affect the financial sustainability of a bank. Methods. The study draws on the comparative analysis of key indicators of bank's financial statements one year prior to the introduction of provisional administration, and evaluates the results of existing methods for analyzing the financial standing of banks. Results. The findings show that those methods that use only official reporting to assess the reliability of banks are not sufficient for short-term forecasting of financial stability. Ratings of the majority of agencies that rest on official reporting have a high percentage of erroneous results, therefore, rating agencies are not able to predict the regulator's decisions regarding a credit institution. Conclusions. Currently, there are no universal methods to determine reliability, which would provide a correct forecast of deteriorated financial position of the bank. It is important to use a systems approach, where financial reporting is not a key component.


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