2011•Unpublished venueRequires access

Fault samples simulation based on Monte Carlo method in testability virtual test

Chenxu Zhao, Guanjun Liu, Jing Qiu, Zhang Yong

Open publisher page 8 citations

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.

About this research paper

What this paper is about

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.

Why it matters

OpenAlex reports 8 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available 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.

Key concepts: Testability, Fault coverage, Fault (geology), Monte Carlo method, Computer science, Economic shortage, Fault injection, Reliability engineering

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