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出 处:《机械科学与技术》2007年第4期437-440,共4页Mechanical Science and Technology for Aerospace Engineering
基 金:国家自然科学基金项目(50675209);河南省杰出人才创新基金项目(0621000500)资助
摘 要:研究了基于信息融合的旋转机械短时矢功率谱分析方法。根据单通道信号处理的不足,本文提出把全矢谱技术与短时傅里叶变换相结合,建立矢量信号的短时矢功率谱概念,导出其计算公式,阐述其图谱表达,并将其应用于实际故障诊断系统中。研究表明,短时矢功率谱可以对矢量信号的短时能量随频率、时间等的变化过程作出分析,可以应用于旋转机械故障诊断实践中。Facing the shortcomings of signal processing with a single channel, the paper proposes combining vector spectrum with the short time Fourier transform and establishing the concept of short-time vector power spectrum, whose calculation formulas were derived and whose spectral representation was expounded. Then the short-time vector power spectrum was applied to a fault diagnosis system. The application shows that it can analyze the change of the short-time energy of vector signals as frequency and time change, being applicable to the fault diagnosis of rotational machinery.
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