Aircraft flight regime recognition with deep temporal segmentation neural network

Author:

Wu JingyaoORCID,Hu ChenyeORCID,Sun ChuangORCID,Chen Xuefeng,Yan Ruqiang

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference44 articles.

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2. Automatic regime detection for rotor track and balance using vibration only sensor data;Asher;Aeronaut. J.,2020

3. Ayyalasomayajula, S.K., Nigam, N., Chen, P., Sridharan, A., Chopra, I., 2017. A Tool-kit for Rotorcraft Regime Recognition Codes Validation. In: AIAA Atmospheric Flight Mechanics Conference. p. 3892. http://dx.doi.org/10.2514/6.2017-3892.

4. Maneuver regime recognition development and verification for h-60 structural monitoring;Barndt;Annu. Forum Proc.-Am. Helicopter Soc.,2007

5. Method of determining a maneuver performed by an aircraft;Bates,2014

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