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小型航空活塞发动机喷油异常的故障诊断

沈峘 赵飞 毛建国 张晨 胡委

沈峘, 赵飞, 毛建国, 张晨, 胡委. 小型航空活塞发动机喷油异常的故障诊断[J]. 航空动力学报, 2021, 36(4): 861-873. doi: 10.13224/j.cnki.jasp.2021.04.018
引用本文: 沈峘, 赵飞, 毛建国, 张晨, 胡委. 小型航空活塞发动机喷油异常的故障诊断[J]. 航空动力学报, 2021, 36(4): 861-873. doi: 10.13224/j.cnki.jasp.2021.04.018
SHEN Huan, ZHAO Fei, MAO Jianguo, ZHANG Chen, HU Wei. Fault diagnosis of abnormal fuel injection of small aviation piston engine[J]. Journal of Aerospace Power, 2021, 36(4): 861-873. doi: 10.13224/j.cnki.jasp.2021.04.018
Citation: SHEN Huan, ZHAO Fei, MAO Jianguo, ZHANG Chen, HU Wei. Fault diagnosis of abnormal fuel injection of small aviation piston engine[J]. Journal of Aerospace Power, 2021, 36(4): 861-873. doi: 10.13224/j.cnki.jasp.2021.04.018

小型航空活塞发动机喷油异常的故障诊断

doi: 10.13224/j.cnki.jasp.2021.04.018
基金项目: 航空科学基金(20170923001)

Fault diagnosis of abnormal fuel injection of small aviation piston engine

  • 摘要: 针对小型航空活塞发动机出现的喷油异常故障,基于发动机的缸内压力和缸盖振动信号,采用一种变分模态分解和布谷鸟搜索优化支持向量机相结合的故障诊断方法对发动机喷油异常故障进行诊断。该方法使用变分模态分解对发动机的缸内压力信号和缸盖振动信号进行处理得到本征模态函数,对本征模态函数进行奇异值分解和能量特征提取,将缸内压力和缸盖振动的数据集输入布谷鸟搜索算法优化的支持向量机模型中进行训练和测试。结果表明:该方法较好地识别出发动机喷油异常的故障,其中缸内压力和缸盖振动信号的故障识别分类准确率分别为95.32%和92.47%,验证了该方法的有效性。

     

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出版历程
  • 收稿日期:  2020-07-23
  • 刊出日期:  2021-04-28

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