APU Feature Integration Based on Multi-variant Flight Data Analysis

被引:0
|
作者
Chen, Xi [1 ]
Lyu, Zhi [1 ]
Ren, He [1 ]
Wang, Hong [1 ]
Li, Lirong [1 ]
Huang, Jiayang [1 ]
Chen, Yong [2 ]
机构
[1] COMAC, Shanghai Engn Res Ctr Civil Aircraft Hlth Monitor, Shanghai, Peoples R China
[2] COMAC, Shanghai Aircraft Design & Res Inst, Shanghai, Peoples R China
关键词
APU; QAR; Feature extraction; Clustering analysis; QAR DATA;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
For aircraft complex systems such as auxiliary power unit (APU), the performance evaluation is currently restricted to observation of several typical parameters. Many other monitoring parameters recorded in Quick Access Recorder (QAR) reflect the APU condition from various aspects yet without enough attention. This study intends to propose integrated performance indicators through feature extraction among many monitoring parameters. Clustering analysis is then conducted to validate the effectiveness of the method by anomaly identification. This method has the potential to easily evaluate performance of some complex aircraft systems for early warning and prevent degradation from early stage.
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页数:6
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