TY - GEN
T1 - Graphical Hybrid Diagnostic Model-Based Software Architecture for System Testability Analysis
AU - Yang, Chunling
AU - Zhong, Anran
AU - Yang, Xuqiang
AU - Chen, Yu
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - With the complexity and integration of equipment system structure, the difficulty of fault discovery and location is greatly increased, so it is important to consider system testability in equipment design and research and development. There are mainly two kinds of models used in system testability modeling: multi-signal flow model and mixed diagnosis model. The mixed diagnosis model can make up for the lack of multi-signal flow model to reflect the relationship between the fault and the function of each module of the system, and can meet the needs of testability modeling more comprehensively. Based on the graphical hybrid diagnosis model, this paper proposes an implementation architecture of testability analysis software, which realizes the establishment of the graphical hybrid diagnosis model, the generation of the failure-test matrix, the calculation of testability index, and the optimization based on the classical weight function and the Rollout algorithm to obtain the fault isolation sequence. It is verified on two concrete case models that the testability index obtained by our software is consistent with the advanced foreign software eXpress, which proves the rationality of the software architecture.
AB - With the complexity and integration of equipment system structure, the difficulty of fault discovery and location is greatly increased, so it is important to consider system testability in equipment design and research and development. There are mainly two kinds of models used in system testability modeling: multi-signal flow model and mixed diagnosis model. The mixed diagnosis model can make up for the lack of multi-signal flow model to reflect the relationship between the fault and the function of each module of the system, and can meet the needs of testability modeling more comprehensively. Based on the graphical hybrid diagnosis model, this paper proposes an implementation architecture of testability analysis software, which realizes the establishment of the graphical hybrid diagnosis model, the generation of the failure-test matrix, the calculation of testability index, and the optimization based on the classical weight function and the Rollout algorithm to obtain the fault isolation sequence. It is verified on two concrete case models that the testability index obtained by our software is consistent with the advanced foreign software eXpress, which proves the rationality of the software architecture.
KW - hybrid diagnostic model
KW - software architecture
KW - testability analysis
KW - testability modeling
UR - https://www.scopus.com/pages/publications/85205704652
U2 - 10.1109/ICIEA61579.2024.10664788
DO - 10.1109/ICIEA61579.2024.10664788
M3 - 会议稿件
AN - SCOPUS:85205704652
T3 - 2024 IEEE 19th Conference on Industrial Electronics and Applications, ICIEA 2024
BT - 2024 IEEE 19th Conference on Industrial Electronics and Applications, ICIEA 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 19th IEEE Conference on Industrial Electronics and Applications, ICIEA 2024
Y2 - 5 August 2024 through 8 August 2024
ER -