摘要
研究一种在α稳定分布下应用的改进的Wigner-Ville分布(WVD)——分数低阶Wigner-Ville分布(FLOWVD),并提出一种在脉冲噪声环境中基于FLOWVD的机械设备故障时频监测方法。仿真信号和实际信号的研究表明:FLOWVD是一种比WVD抗噪能力更强、更具有实际应用价值、应用更加广泛的时频分析工具。同时指出:机械设备运行现场的振动信号的统计分布特性有些服从分数低阶α稳定分布。
The improved Wigner-Ville distribution (WVD) used under the condition of α stable distribution - the fractional lower order Wigner-Ville distribution (FLOWVD) was studied, and a method of time-frequency monitoring on machinery in impulsive noise environment was proposed based on FLOWVD. By using examples of artificial signals and actual signals, it is shown that: FLOWVD has greater noise immunity, higher usable value and more extensive application than WVD, so, it is a powerful tool to analyze time-frequency characteristics. The research also shows that some characteristics of statistical distribution of vibration signals of mechanical equipments in running state does obey the fractional lower order α stable distribution.
出处
《振动与冲击》
EI
CSCD
北大核心
2013年第10期136-140,共5页
Journal of Vibration and Shock
基金
2012年度北京市委组织部优秀人才培养资助个人项目D类(2012D005009000002)
北京物资学院青年基金项目(2012XJQN014)
