| 基于虚拟仪器的发动机断缸故障振动诊断 |
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| 引用本文： | 赵晓顺,刘淑霞,马跃进,崔喜贺.基于虚拟仪器的发动机断缸故障振动诊断[J].农业工程学报,2012,28(17):25-31. |
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| 作者姓名： | 赵晓顺 刘淑霞 马跃进 崔喜贺 |
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| 作者单位： | 1. 河北农业大学机电工程学院,保定,071001
2. 承德石油高等专科学校工业中心,承德,067000 |
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| 基金项目： | 河北省科技厅资助项目（05213507D）；河北农业大学理工基金资助项目。 |
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| 摘 要： | 为了达到发动机不解体故障诊断的目的,进而提高诊断效率,该文通过采集发动机缸盖的振动信号实现发动机状态监测与故障诊断。借助加速度传感器BZ1185、数据采集卡PCI8210及计算机等硬件,构建了发动机振动信号采集系统;基于LabVIEW软件平台开发了虚拟仪器分析软件,对振动信号进行时域分析、相关域分析(自相关分析、互相关分析)、频域分析(傅里叶变换、自功率谱分析、互功率谱分析、倒频谱分析)、联合时频分析(短时傅里叶变换、小波分析)实现离线故障诊断。以4G65发动机为研究对象,在不同转速下,应用自功率谱和小波分析法对发动机断缸故障进行了试验研究,结果表明该系统用于4G65发动机的实时状态监测与故障诊断是可行的。该研究也可为其他发动机的故障诊断研究及推广应用提供参考。
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| 关 键 词： | 发动机 振动 故障诊断 小波分析 自功率谱 虚拟仪器 LabVIEW |
| 收稿时间： | 2011/11/5 0:00:00 |
| 修稿时间： | 2011/12/28 0:00:00 |
Faults diagnosis of engine cylinder broken down based on virtual instrument |
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| Zhao Xiaoshun,Liu Shuxi,Ma Yuejin and Cui Xihe.Faults diagnosis of engine cylinder broken down based on virtual instrument[J].Transactions of the Chinese Society of Agricultural Engineering,2012,28(17):25-31. |
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| Authors: | Zhao Xiaoshun Liu Shuxi Ma Yuejin and Cui Xihe |
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| Institution: | 1.College of Mechanical and Electrical Engineering,Agricultrual University of Hebei,Baoding 071001,China;2.Department of Industry Center,Chengde Petroleum College,Chengde 067000,China) |
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| Abstract: | In order to achieve the purpose of diagnosing the engine fault without disassembly, and thus improve the diagnostic efficiency, this article realized engine condition monitoring and fault diagnosis by collecting vibration signal of an engine cylinder head. With the help of acceleration sensor BZ1185, data acquisition card PCI8210 and computer hardware and so on, the acquisition system of the engine vibration signal was constructed. Based on LabVIEW software platform, virtual instrument analysis software was developed. The vibration signals were used for time-domain analysis, correlation-domain analysis (autocorrelation analysis, cross-correlation analysis), frequency-domain analysis (Fourier transformation, auto-power spectrum analysis, cross-power spectrum analysis, cepstrum analysis) JTFA-Joint Time-frequency Analysis (DSTFT-discrete short-time Fourier transformation, wavelet analysis). Therefore the offline fault diagnosis was realized. Taking the 4G65 engine as the research object, the fault of engine cylinder broken down was studied at different speeds by means of power spectrum and wavelet analysis. The results show that it is feasible to apply the real-time state monitoring and fault diagnosis by the system for the 4G65 engine. The research can also provide a reference for the development and application of other engine fault diagnosis. |
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| Keywords: | engines vibration fault diagnosis wavelet analysis auto-power spectrum virtual instrument LabVIEW |
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