QAR Data Driven Quality Measurement for Aviation Safety
- Resource Type
- Conference
- Authors
- Zhao, Xinbin; Zhang, Riquan; Lv, Bin; Peng, Yuxuan; Zhu, Zhengyu; Wang, Shengnan; Wang, Yi; Ma, Lei
- Source
- 2023 IEEE 5th International Conference on Civil Aviation Safety and Information Technology (ICCASIT) Civil Aviation Safety and Information Technology (ICCASIT), 2023 IEEE 5th International Conference on. :540-546 Oct, 2023
- Subject
- Aerospace
Components, Circuits, Devices and Systems
Measurement
Solid modeling
Atmospheric modeling
Predictive models
Solids
Hazards
Data models
safety assessment model
aviation safety
warning and non-warning monitoring items
QAR data
hazard measurement
- Language
This study constructs a safety assessment model for aviation, considering both warning and non-warning monitoring items. The model incorporates a novel metric that measures the likelihood of the blue standard, while accounting for potential severity of monitored QAR data. A practical algorithm is offered for estimating the chance of events using the developed model. The model's effectiveness is corroborated through trials with QAR data based on A320 aircraft in China, and its advantages over traditional models are underscored. The safety assessment model holds significant utility for improving aviation safety control and decision-making.