Fault samples simulation based on Monte Carlo method in testability virtual test
Chenxu Zhao, Guanjun Liu, Jing Qiu, Zhang Yong
Abstract
Chenxu Zhao, Guanjun Liu, Jing Qiu, Zhang Yong
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.
OpenAlex reports 8 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
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