针对柴油机实测振动信号的非线性非平稳的特点，应用局域波法对柴油机实测振动信号进行分析. 对局域波分解存在的模态混叠问题使其难以获得准确的基本模式分量问题，提出一种基于总体平均局域波分解的改进局域波分析，并应用于不同磨损状态下的柴油机机体振动信号的分析.该方法利用总体平均局域波分解获取无模式混淆的基本模式分量，通过局域波边际谱分析信号能量随瞬时频率的变化特征.工程实测分析结果验证了应用该方法进行柴油机缸套磨损故障诊断的有效性.
Abstract
In respect to the nonlinear and nonstationary characteristics of the surface vibration signals measured from diesel engine, local wave analysis is introduced to analyze the diesel cylinder block surface vibration signals. However, local wave decomposition(LWD) sometimes can not extract intrinsic mode functions accurately because of the mode mixing. Due to this problem, an improved local wave analysis based on ensemble local wave decomposition(ELWD) is proposed, and the instantaneous frequency and the energy distribution of signals can be extracted by local wave boundaryspectrum. Results indicate that the proposed method is feasible and effective in fault diagnosis of diesel engine cylinder liner wear.
关键词
柴油机 /
气缸套 /
磨损 /
局域波分析 /
故障诊断
Key words
diesel engine /
cylinder liner /
wear /
local wave analysis /
fault diagnosis
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参考文献
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基金
国家自然科学基金资助项目(51175057).
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