Volume 36 Issue 4
Apr.  2021
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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

Fault diagnosis of abnormal fuel injection of small aviation piston engine

doi: 10.13224/j.cnki.jasp.2021.04.018
  • Received Date: 2020-07-23
  • Publish Date: 2021-04-28
  • Considering the abnormal fuel injection failure of small aviation piston engines, based on the engine’s in-cylinder pressure and cylinder head vibration signal, a fault diagnosis method combining variational modal decomposition and cuckoo search optimization support vector machine was used to diagnose abnormal fuel injection failure of the engine. The method used variational mode decomposition to process the in-cylinder pressure signal and cylinder head vibration signal of the engine to obtain an intrinsic mode function, perform singular value decomposition and energy feature extraction on the intrinsic mode function, and the data sets of in-cylinder pressure and cylinder head vibration were input into the support vector machine optimized by the cuckoo search algorithm for training and testing. Results showed that this method can better identify the faults of abnormal fuel injection of the engine, and the accuracy of the fault recognition classification of the pressure in the cylinder and the vibration signal of the cylinder head was 95.32% and 92.47%, respectively, verifying the effectiveness of the method.

     

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  • [1]
    毛建国,马粮,陈明浩.小型航空活塞发动机混合动力系统仿真与控制策略研究[J].重庆理工大学学报(自然科学),2018,32(3):68-78. MAO Jianguo,MA Liang,CHEN Minghao.Research on simulation and control strategy of small aviation piston engine hybrid power system[J].Journal of Chongqing University of Technology (Natural Science),2018,32(3):68-78.(in Chinese)
    [2]
    秦琦峰,叶翔.航空二冲程活塞发动机建模及快速原型控制器仿真研究[J].伺服控制,2012(1):41-44. QIN Qifeng,YE Xiang.Research on modeling of aero two-stroke piston engine and simulation of rapid prototype controller[J].Servo Control,2012(1):41-44.(in Chinese)
    [3]
    幺子云.活塞式发动机典型故障机理与监测诊断方法及其应用研究[D].北京:北京化工大学,2017. YAO Ziyun.Research and application of typical faults mechanisms and monitoring and diagnosis method for priston engine[D].Beijing:Beijing University of Chemical Technology,2017.(in Chinese)
    [4]
    钱辉,罗鹰,黄爱维.电控发动机喷油器的故障检测及排除[J].产业与科技论坛,2015,14(10):67-68. QIAN Hui,LUO Ying,HUANG Aiwei.Fault detection and elimination of electronically controlled engine injector[J].Industry and Technology Forum,2015,14(10):67-68.(in Chinese)
    [5]
    李舜酩,郭海东,李殿荣.振动信号处理方法综述[J].仪器仪表学报,2013,34(8):1907-1915. LI Shunming,GUO Haidong,LI Dianrong.Review of vibration signal processing methods[J].Journal of Instrumentation,2013,34(8):1907-1915.(in Chinese)
    [6]
    孙志新.小波分析在地震数据噪声处理中的应用研究[D].哈尔滨:中国地震局工程力学研究所,2009. SUN Zhixin.Application of wavelet analysis on seismic data de-noising[D].Harbin:Institute of Engineering Mechanics,China Earthquake,2009.(in Chinese)
    [7]
    刘陈希.基于EMD-ICA的地震资料去噪方法研究[D].山东 青岛:中国石油大学(华东),2017. LIU Chenxi.Denoising research of seismic data based on EMD-ICA method[D].Qingdao Shandong:China University of Petroleum (East China),2017.(in Chinese)
    [8]
    DRAGOMIRETSKIY K,ZOSSO D.Variational mode decomposition[J].IEEE Transactions on Signal Processing,2014,62(3):531-544.
    [9]
    罗燚.基于变分模态分解和萤火虫优化概率神经网络的风电机组振动故障诊断研究[D].西安:西安理工大学,2019. LUO Yi.Vibration fault diagnosis of wind turbines based on variational mode decomposition and firefly optimized probabilistic neural network[D].Xi’an:Xi’an University of Technology,2019.(in Chinese)
    [10]
    ANEESH C,KUMAR S,HISHAM P M,et al.Performance comparison of variational mode decomposition over empirical wavelet transform for the classification of power quality disturbances using support vector machine[J].Procedia Computer Science,2015,46:372-380.
    [11]
    彭刘阳.基于振动信号的滚动轴承故障诊断与状态识别方法研究[D].江苏 徐州:中国矿业大学,2019. PENG Liuyang.Research on fault diagnosis and state zrecog nition of rolling bearing based on vibration signal[D].Xuzhou Jiangsu:China University of Mining and Technology,2019.(in Chinese)
    [12]
    WANG Yuanzhang,LI Zhihua,WU Chunhua,et al.A survey of online fault diagnosis for PV module based on BP neural net-work[J].Power System Technology,2013,37(8):483-486.
    [13]
    MURALIDHARAN V,SUGUMARAN V.Feature extraction using wavelets and classification through decision tree algorithm for fault diagnosis of mono-block centrifugal pump[J].Measurement,2013,46(1):353-359.
    [14]
    吴鹏.支持向量机文本分类算法的研究及其应用[D].辽宁 大连:大连理工大学,2009. WU Peng.Research and application of text classification algorithm based on SVM[D].Dalian Liaoning:Dalian University of Technology,2019.(in Chinese)
    [15]
    张毅.支持向量机的舰船发动机故障诊断[J].舰船科学技术,2019,41(22):106-108. ZHANG Yi.Support vector machine for ship engine fault diagnosis[J].Ship Science and Technology,2019,41(22):106-108.(in Chinese)
    [16]
    张宇飞,幺子云,唐松林,等.一种基于主成分分析和支持向量机的发动机故障诊断方法[J].中国机械工程,2016,27(24):3307-3311. ZHANG Yufei,YAO Ziyun,TANG Songlin,et al.An engine fault diagnosis method based on PCL and SVM[J].China Mechanical Engineering,2016,27(24):3307-3311.(in Chinese)
    [17]
    徐启华,师军.应用SVM的发动机故障诊断若干问题研究[J].航空学报,2005,26(6):32-36. XU Qihua,SHI Jun.Some studies in aero-engine fault diagnosis using support vector machines[J].Acta Aeronautica et Astronautica Sinica,2005,26(6):32-36.(in Chinese)
    [18]
    孙超英,刘鲁,刘传武,等.基于Boosting-SVM算法的航空发动机故障诊断[J].航空动力学报,2010,25(11):2584-2588. SUN Chaoying,LIU Lu,LIU Chuanwu,et al.Aero-engine fault diagnosis based on Boosting-SVM[J].Journal of Aerospace Power,2010,25(11):2584-2588.(in Chinese)
    [19]
    赵海君.基于支持向量机的MFCC特征参量研究和核函数选择分析[D].西安:陕西师范大学,2015. ZHAO Haijun.Research on MFCC characteristic parameters and kernel function selection analysis based on support vector machine[D].Xi’an:Shaanxi Normal University,2015.(in Chinese)
    [20]
    任志国,朱正平,达文姣,等.基于遗传算子的改进粒子群优化算法[J].自动化与仪器仪表,2014(6):170-172. REN Zhiguo,ZHU Zhengping,DA Wenjiao,et al.Improve particle swarm optimization based on genetic operator[J].Automation and Instrumentation,2014(6):170-172.(in Chinese)
    [21]
    YANG X S,DEB S.Cuckoo Search via Lévy flights[R].Coimbatore,India:World Congress on Nature and Biologically Inspired Computing (NaBIC),2009.
    [22]
    李黎,杨升峰,邱金鹏,等.电力系统供电短期负荷预测方法仿真研究[J].计算机仿真,2017,34(1):104-108. LI Li,YANG Shengfeng,QIU Jinpeng,et al.Power system simulation power short-term load forecasting method[J].Computer Simulation,2017,34(1):104-108.(in Chinese)
    [23]
    刘志刚,李德仁,秦前清,等.支持向量机在多类分类问题中的推广[J].计算机工程与应用,2004,40(7):10-13,65. LIU Zhigang,LI Deiren,QIN Qianqing,et al.An analytical over-view of methods for multi-category support vector machines[J].Computer Engineering and Applications,2004,40(7):10-13,65.(in Chinese)
    [24]
    丁世飞,张健,张谢锴,等.多分类孪生支持向量机研究进展[J].软件学报,2018,29(1):89-108. DING Shifei,ZHANG Jian,ZHANG Xiekai,et al.Survey on multi class twin support vector machines[J].Journal of Software,2018,29(1):89-108.(in Chinese)
    [25]
    都明宇,鲍官军,杨庆华,等.基于改进支持向量机的人手动作模式识别方法[J].浙江大学学报(工学版),2018,52(7):1239-1246. DU Mingyu,BAO Guanjun,YANG Qinghua,et al.Novel method pattern recognition of hand actions based on improved support vector machine[J].Journal of Zhejiang University (Engineering Science),2018,52(7):1239-1246.(in Chinese)
    [26]
    梁治华,曹江涛,姬晓飞.基于EEMD和CS-SVM的滚动轴承故障诊断研究[J].机电工程,2019,36(6):622-627. LIANG Zhihua,CAO Jiangtao,JI Xiaofei.Fault diagnosis of rolling bearing based on EEMD and CS-SVM[J].Journal of Mechanical and Electrical Engineering,2019,36(6):622-627.(in Chinese)
    [27]
    胡勤,朱鸿斌,赵凯凯,等.基于GA优化SVM的滚动轴承故障诊断方法研究[J].广东石油化工学院学报,2020,30(1):44-47,53. HU Qin,ZHU Hongbin,ZHAO Kaikai,et al.Fault diagnosis of rolling bearing based on genetic algorithm and support vector machine[J].Journal of Guangdong University of Petrochemical Technology,2020,30(1):44-47,53.(in Chinese)
    [28]
    薛浩然,张珂珩,李斌,等.基于布谷鸟算法和支持向量机的变压器故障诊断[J].电力系统保护与控制,2015,43(8):8-13. XUE Haoran,ZHANG Keheng,LI Bin,et al.Transformer fault diagnosis based on cuckoo algorithm and support vector machine[J].Power System Protection and Control,2015,43(8):8-13.(in Chinese)
    [29]
    江星星.齿轮箱关键部件非平稳振动信号分析及诊断方法研究[D].南京:南京航空航天大学,2016. JIANG Xingxing.Research on the nonstationary vibration signal of key parts of gearbox and its fault diagnosis method[D].Nanjing:Nanjing University of Aeronautics and Astronautics,2016.(in Chinese)
    [30]
    瞿红春,许旺山,郭龙飞,等.基于参数优化变分模态分解的滚动轴承微弱故障诊断研究[J].机床与液压,2020,48(9):162-167,180.
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