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Graphical Hybrid Diagnostic Model-Based Software Architecture for System Testability Analysis

  • School of Electrical Engineering and Automation, Harbin Institute of Technology
  • Shandong University of Science and Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publication2024 IEEE 19th Conference on Industrial Electronics and Applications, ICIEA 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350360868
DOIs
StatePublished - 2024
Externally publishedYes
Event19th IEEE Conference on Industrial Electronics and Applications, ICIEA 2024 - Kristiansand, Norway
Duration: 5 Aug 20248 Aug 2024

Publication series

Name2024 IEEE 19th Conference on Industrial Electronics and Applications, ICIEA 2024

Conference

Conference19th IEEE Conference on Industrial Electronics and Applications, ICIEA 2024
Country/TerritoryNorway
CityKristiansand
Period5/08/248/08/24

Keywords

  • hybrid diagnostic model
  • software architecture
  • testability analysis
  • testability modeling

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