| 基于RBF神经网络的航空发动机故障诊断模型 |
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| 引用本文： | 蔡开龙,付敏,谢寿生.基于RBF神经网络的航空发动机故障诊断模型[J].燃气涡轮试验与研究,2003,16(4):9-11,17. |
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| 作者姓名： | 蔡开龙 付敏 谢寿生 |
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| 作者单位： | 1. 空军工程大学,工程学院,西安,710038
2. 南昌大学,南昌,330029 |
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| 摘 要： | 利用某型发动机地面定检状态实测数据作为学习样本，采用径向基函数(RBF)神经网络建立发动机的故障诊断模型。通过该模型对起飞状态实测的发动机参数进行了辨识，结果表明：这种方法具有训练时间短、学习速度快、诊断精度高等优点。
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| 关 键 词： | RBF神经网络 航空发动机 故障诊断 数学模型 学习速度 |
| 文章编号： | 1672-2620(2003)04-0009-03 |
A Model of Aero-engine Fault Diagnosis Based on the RBF Network |
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| CAI Kai - long ,FU Min ,XIE Shou - sheng.A Model of Aero-engine Fault Diagnosis Based on the RBF Network[J].Gas Turbine Experiment and Research,2003,16(4):9-11,17. |
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| Authors: | CAI Kai - long FU Min XIE Shou - sheng |
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| Institution: | CAI Kai - long 1,FU Min 2,XIE Shou - sheng 1 |
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| Abstract: | A model of aero-engine fault diagnosis based on RBF network has been set up by using mea - sured data from fixed-check state on the ground as learning example.Measured engine parameters at tak - ing off condition have been differentiated with this model.Results show that this method has the advan - tages of fast learning,fast computing and high diagnosis precision. |
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| Keywords: | RBF network aero-engine fault diagnosis model |
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