| 航空发动机部件性能故障融合诊断方法研究 |
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| 引用本文： | 鲁峰,黄金泉,陈煜.航空发动机部件性能故障融合诊断方法研究[J].航空动力学报,2009,24(7):1649-1653. |
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| 作者姓名： | 鲁峰 黄金泉 陈煜 |
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| 作者单位： | 1. 南京航空航天大学能源与动力学院,南京,210016
2. 南京航空航天大学能源与动力学院,南京210016;贵州黎阳航空发动机公司,贵阳561102 |
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| 摘 要： | 提出一种对航空发动机部件性能蜕化进行融合诊断的模糊决策融合机制,以改善单独采用基于模型和基于数据的部件性能故障诊断的漏诊与误诊的问题.传感器测量值同时输入到基于自适应模型的和基于数据的诊断模块中,分别利用卡尔曼滤波算法和最小二乘支持向量机(LSSVM)对主要部件故障性能参数估计,再利用模糊逻辑调整决策权重以进行D-S(Dempster-Shafer)证据理论的决策融合诊断.以某型涡扇发动机为对象进行单部件和双部件蜕化仿真研究表明,与单独使用基于模型和基于数据的诊断方法相比,采用决策融合机制有效地提高了部件故障诊断精度.
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| 关 键 词： | 航空发动机 融合诊断 自适应模型 最小二乘支持向量机（LSSVM） 模糊逻辑 D-S（Dempster-Shafer）证据理论 |
| 收稿时间： | 2008/6/30 0:00:00 |
| 修稿时间： | 2008/12/16 0:00:00 |
Research on performance fault fusion diagnosis of aero-engine component |
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| LU Feng,HUANG Jin-quan and CHEN Yu.Research on performance fault fusion diagnosis of aero-engine component[J].Journal of Aerospace Power,2009,24(7):1649-1653. |
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| Authors: | LU Feng HUANG Jin-quan and CHEN Yu |
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| Affiliation: | 1.College of Energy and Power Engineering;Nanjing University of Aeronautics and Astronautics;Nanjing 210016;China;2.Guizhou Liyang Aero Engine Corporation;Guiyang 561102;China |
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| Abstract: | A method of engine component fault diagnosis based on fuzzy decision fusion was proposed to improve the accuracy of component fault diagnosis, and reduce the probabil-ity of false alarming and missing detection. By using Kalman filter algorithm and least square support vector machine (LSSVM) , the sensor outputs were both sent to two different mod-ules--self-tuning model and data-based diagnostic module--to estimate the health pa-rameters. Fuzzy algorithm was operated to adjust the weights of two modules, and then the fault fusion decision was made by D-S(Dempster-Shafer) theory. Simulation on a turbofan engine shows that, as compared to these two modules, this method has better accuracy of fault diagnosis. |
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| Keywords: | aero-engine fusion diagnosis self tuning model least square support vector machine (LSSVM) fuzzy logic D-S (Dempster-Shafer) theory |
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