DocumentCode :
2683153
Title :
Fault samples simulation based on Monte Carlo method in testability virtual test
Author :
Zhao, Chenxu ; Liu, Guanjun ; Qiu, Jing ; Zhang, Yong
Author_Institution :
Lab. of Sci. & Technol. on Integrated Logistics Support, Nat. Univ. of Defense Technol., Changsha, China
fYear :
2011
fDate :
12-15 June 2011
Firstpage :
358
Lastpage :
362
Abstract :
Fault injection is a major method applied in the testability verification, so the fault samples selection is a key factor to the confidence level of evaluation conclusion. There are some deficiencies in the exiting fault samples selection methods because of not considering the fault effect and fault rate varying. Aiming at the shortage of the existing fault samples selection method, a fault samples generation method based on Monte Carlo method is proposed respectively to the corrective maintenance and regular maintenance under the background of testability virtual test in this paper. The Multisim 10 is utilized to build the fault models and simulate the process of fault injection. The results show that this method can simulate the fault samples effectively that can be injected in the testability virtual test.
Keywords :
Monte Carlo methods; circuit testing; fault simulation; maintenance engineering; Monte Carlo method; Multisim10; corrective maintenance; fault effect; fault injection; fault rate; fault sample generation method; fault sample selection; regular maintenance; testability verification; testability virtual test; Circuit faults; Integrated circuit modeling; Maintenance engineering; Monte Carlo methods; Numerical models; Random variables; Resistors; Fault samples; Monte Carlo method; Testability verification; Virtual test;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Reliability, Maintainability and Safety (ICRMS), 2011 9th International Conference on
Conference_Location :
Guiyang
Print_ISBN :
978-1-61284-667-5
Type :
conf
DOI :
10.1109/ICRMS.2011.5979292
Filename :
5979292
Link To Document :
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