Research on visualization and diagnosis method of civil aircraft WQAR data
WQAR data has the characteristics of large scale, high dimension and many random interference factors, which makes it extremely difficult to use WQAR operational data for flight quality monitoring, expert unknown anomaly detection and PHM. This paper proposes a civil aircraft WQAR data visualization...
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| Veröffentlicht in: | Journal of physics. Conference series 2022-04, Vol.2252 (1), p.12042 |
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| container_title | Journal of physics. Conference series |
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| creator | Ren, Chenhui Ma, Linlong Yang, Xu Wan, Junlong |
| description | WQAR data has the characteristics of large scale, high dimension and many random interference factors, which makes it extremely difficult to use WQAR operational data for flight quality monitoring, expert unknown anomaly detection and PHM. This paper proposes a civil aircraft WQAR data visualization display scheme and the overall framework of fault diagnosis adopts a two-stage cycle to research and recycle and improve the data preprocessing requirements, visualization and diagnostic process methods, etc., and use the civil aircraft operation data to verify the proposed theoretical model and diagnose the failure status. Results shown that the theoretical framework and method can accurately predict the health status of aircraft engines, and can effectively solve the problems of high dimension and many interference factors of WQAR data. |
| doi_str_mv | 10.1088/1742-6596/2252/1/012042 |
| format | Article |
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| subjects | Aircraft Aircraft engines Anomalies Fault diagnosis Interference Physics Scientific visualization Visualization |
| title | Research on visualization and diagnosis method of civil aircraft WQAR data |
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