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Extended GTST-MLD for aerospace system safety analysis.
Chiming Guo1, Shiyu Gong, Lin Tan
1Department of System Engineering, College of Information and Management, National University of Defense Technology, Changsta, Hunan, China. guochiming@nudt.edu.cn
Summary
This study presents a new method for identifying aerospace system hazards using an extended Goal Tree-Success Tree-Master Logic Diagram (GTST-MLD) during the design phase. The approach enhances hazard detection by integrating system knowledge and past accident data.
Area of Science:
- Aerospace Engineering
- Systems Safety
- Risk Management
Background:
- Complex interactions in aerospace systems pose significant hazards.
- Current methods may not adequately capture intricate system interdependencies during the design stage.
Purpose of the Study:
- To introduce a novel method for identifying hazard interactions in aerospace systems.
- To enhance the capability of the Goal Tree-Success Tree-Master Logic Diagram (GTST-MLD) framework for hazard analysis.
Main Methods:
- Extension of the GTST-MLD framework using ontology.
- Integration of system design knowledge and historical accident data.
- Hazard identification at both functional and equipment levels.
Main Results:
- The proposed method effectively identifies potential hazard interactions.
- The ontology extension enriches the descriptive capabilities of GTST-MLD for system interactions.
- Demonstrated applicability through a case study.
Conclusions:
- The extended GTST-MLD approach provides a valuable tool for proactive hazard identification in aerospace design.
- Integrating domain knowledge and accident experience improves the robustness of safety analysis.
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