基于组合赋权和云模型的航空发动机状态评估
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作者单位:

1.中国民航大学航空工程学院,天津300300;2.中国民航大学飞机发动机状态监控与故障诊断综合实验室,天津300300

作者简介:

通讯作者:

曲春刚,男,副教授,硕士生导师,E-mail:cgqu@cauc.edu.cn。

中图分类号:

V23

基金项目:

天津市自然科学基金多元投入智慧民航项目(24JCZDJC00100)。


Aero-engine Condition Assessment Based on Combination Weighting and Cloud Model
Author:
Affiliation:

1.College of Aeronautical Engineering, Civil Aviation University of China, Tianjin 300300 , China;2.Aircraft Engine Condition Monitoring and Failure Diagnosis Laboratory, Civil Aviation University of China, Tianjin 300300, China

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    摘要:

    为了解决发动机状态评估中状态信息的随机性和模糊性问题,提出了一种基于组合赋权和云模型的航空发动机状态评估方法。经过原理分析、专家经验、相关性分析,对发动机构建层级化指标体系;通过层次分析法和熵权法分别确定其主客观权重,再通过线性组合赋权法确定组合权重;针对航空发动机确定评价标准等级及其区间,通过相对劣化度映射状态等级评分、云模型进行定性分析和相似度进行定量分析;以A320系列飞机上多台发动机的QAR数据进行分析验证。其中某台使用初期的发动机结果表明:发动机从最初的强离散健康状态趋于弱离散亚健康状态,对应零部件问题的逐渐显露和磨合期趋于稳定的实际情况。因此,基于组合赋权和云模型的航空发动机状态评估模型有效,为识别发动机的状态、了解发动机的长期趋势、采取预防性维修和提高飞行安全性提供有力保障。

    Abstract:

    In order to solve the problem of randomness and fuzziness of state information in engine state assessment, this paper proposes an aero-engine state assessment method based on combination weighting and cloud model. Through principle analysis, expert experience, and correlation analysis, the hierarchical index system of engine is constructed. The subjective and objective weights are determined by the analytic hierarchy process and the entropy weight method respectively, and then the combination weights are determined by the linear combination weighting method. For the aero-engine to determine the evaluation standard grade and its interval, the state grade score is mapped by the relative deterioration degree, the qualitative analysis is carried out by the cloud model, and the quantitative analysis is carried out by the similarity. The QAR data of multiple engines on the A320 series aircraft are analyzed and verified. The results of the initial use of one of the engines show that: The engine tends from the initial strong discrete health state to the weak discrete sub-health state, and the corresponding parts problems gradually reveal and the actual situation of the running-in period tends to be stable. Therefore, the aero-engine condition assessment model based on combination weighting and cloud model is effective, which provides a strong guarantee for identifying the state of the engine, understanding the long-term trend of the engine, taking preventive maintenance and improving flight safety.

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曲春刚,王长乐.基于组合赋权和云模型的航空发动机状态评估[J].南京航空航天大学学报,2025,57(4):670-680

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  • 收稿日期:2025-04-27
  • 最后修改日期:2025-06-07
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  • 在线发布日期: 2025-09-02
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