Dive Into QAR Stream Data - A Real-time Early Warning Mechanism
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This is a research report on real-time flight safety early warning using QAR stream data. QAR is a quick access recorder that records various sensor data of the aircraft. The authors propose a data washing method, a data acquisition method, and a random forest classification model to predict potential over-limit events during the flight. The authors also present a real-world heavy landing case, analyzing the causes and effects of the over-limit event. The authors finally discuss the future work directions and contribution summary.
Table of Content
- Introduction
- Background
- Motivation
- Goals of Study
- Methodology
- Data Preprocess
- Data Acquisition
- How to Early Warning? A Real-world Example
- Model
- Conclusion
- Future Work
- Summary of Contribution
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