Statistical Algorithms with Phase-Sensitive Detection for the Number of Hovers and S Turns in Aircraft Flights
Compared to maximum state parameters, such as maximum altitude and Mach, the number of hovers and S turns can be used as process parameters representing the complexity of military aircraft maneuvers when classifying big flight mission data to compile flight load spectra for structures. This study de...
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| Format: | Article |
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MDPI AG
2023-08-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/13/16/9435 |
| _version_ | 1797585604016340992 |
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| author | Moli Chen Xunkai Wei Hao Wang Zhenhe Jiang |
| author_facet | Moli Chen Xunkai Wei Hao Wang Zhenhe Jiang |
| author_sort | Moli Chen |
| collection | DOAJ |
| description | Compared to maximum state parameters, such as maximum altitude and Mach, the number of hovers and S turns can be used as process parameters representing the complexity of military aircraft maneuvers when classifying big flight mission data to compile flight load spectra for structures. This study developed intelligent statistical algorithms based on yaw angle data from flight parameters such as the number of hovers and S turns. Using the median-crossing de-redundant function of Phase-Sensitive Detection (PSD) and analyzing the characteristics of 360° hovering flight parameters, a statistical algorithm for the number of hovers during a flight profile is presented. Using the split-half function of PSD, a triangle layering algorithm based on the yaw angle signal was developed to count the number of S turns during a flight profile, where the signal of each sublayer is segmented into median-crossing intervals to eliminate the redundant median-crossing marks from the previous layer. Compared with artificial means, the statistical results of the flight example showed that the developed intelligent algorithms are effective. |
| first_indexed | 2024-03-11T00:08:16Z |
| format | Article |
| id | doaj.art-4260142c742e41da892a75aec38b8e0d |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-11T00:08:16Z |
| publishDate | 2023-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-4260142c742e41da892a75aec38b8e0d2023-11-19T00:09:45ZengMDPI AGApplied Sciences2076-34172023-08-011316943510.3390/app13169435Statistical Algorithms with Phase-Sensitive Detection for the Number of Hovers and S Turns in Aircraft FlightsMoli Chen0Xunkai Wei1Hao Wang2Zhenhe Jiang3College of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, ChinaBeijing Aeronautical Engineering Technology Research Center, Beijing 100076, ChinaBeijing Aeronautical Engineering Technology Research Center, Beijing 100076, ChinaCollege of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, ChinaCompared to maximum state parameters, such as maximum altitude and Mach, the number of hovers and S turns can be used as process parameters representing the complexity of military aircraft maneuvers when classifying big flight mission data to compile flight load spectra for structures. This study developed intelligent statistical algorithms based on yaw angle data from flight parameters such as the number of hovers and S turns. Using the median-crossing de-redundant function of Phase-Sensitive Detection (PSD) and analyzing the characteristics of 360° hovering flight parameters, a statistical algorithm for the number of hovers during a flight profile is presented. Using the split-half function of PSD, a triangle layering algorithm based on the yaw angle signal was developed to count the number of S turns during a flight profile, where the signal of each sublayer is segmented into median-crossing intervals to eliminate the redundant median-crossing marks from the previous layer. Compared with artificial means, the statistical results of the flight example showed that the developed intelligent algorithms are effective.https://www.mdpi.com/2076-3417/13/16/9435aircraftintelligenceload spectrumphase-sensitive detectionturn |
| spellingShingle | Moli Chen Xunkai Wei Hao Wang Zhenhe Jiang Statistical Algorithms with Phase-Sensitive Detection for the Number of Hovers and S Turns in Aircraft Flights Applied Sciences aircraft intelligence load spectrum phase-sensitive detection turn |
| title | Statistical Algorithms with Phase-Sensitive Detection for the Number of Hovers and S Turns in Aircraft Flights |
| title_full | Statistical Algorithms with Phase-Sensitive Detection for the Number of Hovers and S Turns in Aircraft Flights |
| title_fullStr | Statistical Algorithms with Phase-Sensitive Detection for the Number of Hovers and S Turns in Aircraft Flights |
| title_full_unstemmed | Statistical Algorithms with Phase-Sensitive Detection for the Number of Hovers and S Turns in Aircraft Flights |
| title_short | Statistical Algorithms with Phase-Sensitive Detection for the Number of Hovers and S Turns in Aircraft Flights |
| title_sort | statistical algorithms with phase sensitive detection for the number of hovers and s turns in aircraft flights |
| topic | aircraft intelligence load spectrum phase-sensitive detection turn |
| url | https://www.mdpi.com/2076-3417/13/16/9435 |
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