Study on Techniques of Modeling of Design for Testability

Abstract:

Due to the uncertainty in the testing process of electric equipment, Bayesian network is introduced to modify the hybrid diagnostic model, and the HD-BN model is established which has the ability to deal with uncertain information. Considering the relations between functions and failure modes, the priori probabilities of failure modes are corrected, and the uncertain matrix expressing relations between failure modes and tests under uncertainty is acquired based on Bayesian inference, which lay the foundation for further optimization of design for testability.

• Periodical: Applied Mechanics and Materials (Volumes 303-306)
• Pages: 394-398
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.303-306.394
• Online since: February 2013
• Authors: Zhen Sheng Wang, Jian Sun, Guang Yao Lian
• Keywords: Bayesian Network (BN), Design for Testability, Hybrid Diagnostic Model, Uncertainty

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