Degradation Trend Construction of Aircraft Engine Using Complex Network Model

Yongsheng Huang, Yongbo Li, Khandaker Noman, Shun Wang

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Health condition monitoring (HCM) of an aircraft engine is crucial to enhance its reliability running. In this paper, a novel method is proposed using the complex model to monitor its degradation trend. With the help of the data collected by multi-sensors, a complex dynamic model is built using the data-driven approach, which aims to achieve the purpose of HCM of aircraft engine. First, the Gath-Geva fuzzy clustering method is utilized for health condition division. Second, the network model based on correlation analysis is conducted. Finally, the dynamic improved logistic model is developed to describe the changes of sensors data of aircraft engine degradation trend. To verify the effectiveness of the proposed method, simulated aircraft gas turbofan engine data is utilized for validation. The results demonstrate that our method is effective to track its degradation process of aircraft gas turbofan engine.

源语言英语
主期刊名Proceedings of IncoME-VI and TEPEN 2021 - Performance Engineering and Maintenance Engineering
编辑Hao Zhang, Guojin Feng, Hongjun Wang, Fengshou Gu, Jyoti K. Sinha
出版商Springer Science and Business Media B.V.
519-528
页数10
ISBN(印刷版)9783030990749
DOI
出版状态已出版 - 2023
活动6th International Conference on Maintenance Engineering, IncoME-VI and the Conference of the Efficiency and Performance Engineering Network, TEPEN 2021 - Tianjin, 中国
期限: 20 10月 202123 10月 2021

出版系列

姓名Mechanisms and Machine Science
117
ISSN(印刷版)2211-0984
ISSN(电子版)2211-0992

会议

会议6th International Conference on Maintenance Engineering, IncoME-VI and the Conference of the Efficiency and Performance Engineering Network, TEPEN 2021
国家/地区中国
Tianjin
时期20/10/2123/10/21

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