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86 / 2023-09-13 17:38:12
Intelligent Real-time Monitoring System Based On Flight Test Model Design and Development
Real time monitoring, flight test models ,Intelligence,Trend prediction,anomaly detection;
Special Sessions > SS02 - Intelligent Robot, Artificial Intelligence Methods and Its Applications
Final Paper
Xiang Gao / China commercial flying company civil aircraft flight test center
Tao Liu / China commercial flying company civil aircraft flight test center
Can Feng / China commercial flying company civil aircraft flight test center
Xiaowen Zha / China commercial flying company civil aircraft flight test center
Yuxi Liu / China commercial flying company civil aircraft flight test center
Bowen Xue / China commercial flying company civil aircraft flight test center
Real time monitoring is an important means to ensure flight safety and evaluate the effectiveness of flight test points during the flight test process. Traditional real-time monitoring systems mainly use centralized real-time processing to visualize values, chart curves, indicator lights, and other forms of display. The analysis and positioning of flight test faults are judged by monitoring personnel based on experience, and they rely heavily on monitoring personnel.As the number of flight test missions increases, more monitoring personnel are needed to participate in monitoring operations, indirectly increasing labor costs; Moreover, due to the need for a single monitoring personnel to be responsible for multiple monitoring images during the flight test process, coupled with personnel fatigue caused by long-term monitoring operations, it is easy to encounter flight safety issues caused by human errors.

With the rapid development of information technology, trend prediction, fault diagnosis and other technologies have been applied in various industrial fields. The above intelligent technologies can be used in the field of flight testing to improve the intelligent level of real-time monitoring, reduce dependence on monitoring personnel, and improve flight safety and efficiency.At present, various industrial fields mainly adopt paths such as machine learning, deep learning, and big data technology to achieve intelligent monitoring operations, and have achieved certain results. Based on the current technological development trend, this project studies real-time monitoring technology based on flight test models and trend prediction.

 
Important Date

  • Conference Date

    Nov 02

    2023

    to

    Nov 04

    2023

  • Dec 15 2023

    Draft paper submission deadline

  • Dec 20 2023

    Registration deadline

Sponsored By
IEEE Instrumentation and Measurement Society
Xidian University
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