A Joint Distribution-Based Testability Metric Estimation Model for Unreliable Tests

A Joint Distribution-Based Testability Metric Estimation Model for Unreliable Tests

The selection of tests required to make complex systems testable is a fundamental of system-level fault diagnosis. To evaluate the test selection, testability metric estimation (TME) is required. The influence of unreliable (imperfect) tests, whose outcomes are non-deterministic due to unstable envi...

Full description

Bibliographic Details
Main Authors: Xuerong Ye, Cen Chen, Myeongsu Kang, Guofu Zhai, Michael Pecht
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Copula theory
fault diagnosis
testability metric estimation
unreliable tests
Online Access:https://ieeexplore.ieee.org/document/8419687/

Internet

https://ieeexplore.ieee.org/document/8419687/

Similar Items