5 Conclusion
Complex electronic system has complicated principal and excess amount of single
equipment and malfunctions, which makes it difficult to run quick failure diagnosis. It
is necessary to optimize its testability design at the beginning of the design, improve
the testability of the system and improve the supportability of equipment use and
maintenance. The article firstly analyzes the relationship between the testability model
and fault model, as well as the current technology development status. Secondly, it
introduces the definition of digraph, digraph model, fault diagnosis model based on
digraph and the modeling method and process of correlation graphic model. On this
basis, it proposes the integrated technology of testability design and diagnosis for
complex electronic information systems. Taking vehicle electronic information system
as an example, it establishes the function digraph model and analyzes its testability.
The results show that the conclusion of the model analysis is consistent with the actual
situation.
References
1. Mobed P, Maddala J, Pednekar P et al (2015) Optimal sensor placement for fault diagnosis
using magnitude ratio. Ind Eng Chem Res 54(38):9369–9381
2. Liu YK, Su S, Yang Y et al (2013) Fault diagnosis approach for wind turbine based on signed
directed graph. J Mech Strength 35(5):583–588
3. Xu XH (2010) Research on the fault diagnosis of aero-engine based on the AHP-SDG
method. Nanjing University of Aeronautics and Astronautics, Nanjing
4. Li G, Gao J, Chen F (2007) Formal support for failure knowledge modeling and diagnostic
reasoning using polychromatic sets. In: Proceedings of the 5th IEEE international conference
on industrial informatics. IEEE Press, Piscataway, NJ, USA vol 2, pp 645–650
5. Kun Huang, Hongzhi Li (2011) Archiecture of data link integration application. Command Inf
Syst Technol 2(5):15–18
6. Yuan L (2012) Information extraction of strategic intelligence research. Command Inf Syst
Technol 3(1):49–52
The Integrative Technology of Testability Design …
397
Complex electronic system has complicated principal and excess amount of single
equipment and malfunctions, which makes it difficult to run quick failure diagnosis. It
is necessary to optimize its testability design at the beginning of the design, improve
the testability of the system and improve the supportability of equipment use and
maintenance. The article firstly analyzes the relationship between the testability model
and fault model, as well as the current technology development status. Secondly, it
introduces the definition of digraph, digraph model, fault diagnosis model based on
digraph and the modeling method and process of correlation graphic model. On this
basis, it proposes the integrated technology of testability design and diagnosis for
complex electronic information systems. Taking vehicle electronic information system
as an example, it establishes the function digraph model and analyzes its testability.
The results show that the conclusion of the model analysis is consistent with the actual
situation.
References
1. Mobed P, Maddala J, Pednekar P et al (2015) Optimal sensor placement for fault diagnosis
using magnitude ratio. Ind Eng Chem Res 54(38):9369–9381
2. Liu YK, Su S, Yang Y et al (2013) Fault diagnosis approach for wind turbine based on signed
directed graph. J Mech Strength 35(5):583–588
3. Xu XH (2010) Research on the fault diagnosis of aero-engine based on the AHP-SDG
method. Nanjing University of Aeronautics and Astronautics, Nanjing
4. Li G, Gao J, Chen F (2007) Formal support for failure knowledge modeling and diagnostic
reasoning using polychromatic sets. In: Proceedings of the 5th IEEE international conference
on industrial informatics. IEEE Press, Piscataway, NJ, USA vol 2, pp 645–650
5. Kun Huang, Hongzhi Li (2011) Archiecture of data link integration application. Command Inf
Syst Technol 2(5):15–18
6. Yuan L (2012) Information extraction of strategic intelligence research. Command Inf Syst
Technol 3(1):49–52
The Integrative Technology of Testability Design …
397