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基于虚拟仪器的发动机断缸故障振动诊断

赵晓顺 刘淑霞 马跃进 崔喜贺

农业工程学报2012,Vol.28Issue(17):25-31,7.
农业工程学报2012,Vol.28Issue(17):25-31,7.DOI:10.3969/j.issn.1002-6819.2012.17.004

基于虚拟仪器的发动机断缸故障振动诊断

Faults diagnosis of engine cylinder broken down based on virtual instrument

赵晓顺 1刘淑霞 1马跃进 1崔喜贺2

作者信息

  • 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
  • 折叠

摘要

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 Lab VIEW 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.

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

Key words

engines/ vibration/ fault diagnosis/ wavelet analysis/ auto-power spectrum/ virtual instrument/ LabVIEW

分类

能源科技

引用本文复制引用

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):25-31,7.

基金项目

河北省科技厅资助项目(05213507D) (05213507D)

河北农业大学理工基金资助项目. ()

农业工程学报

OA北大核心CSCDCSTPCD

1002-6819

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