摘要
介绍了基于多传感器信息融合理论的三维全息谱的构成原理及其矩阵表示,对三维全息谱及其差谱的物理含义做了清晰的解释,提出了一种基于三维全息差谱的故障诊断方法.试验研究表明,三维全息差谱的初相点相位和配重方位,以及初相点矢径大小和配重大小均呈线性关系.因此,三维全息差谱可以在几个支承面同时反映转子所受激振力大小和方位的变化.诊断实例表明,以三维全息差谱、三维全息谱分解为基础的三维全息谱诊断技术能全面利用转子各测量面的振动信息,在不增加额外诊断设备的情况下,确诊回转机械常见的振动故障,且在现场动平衡领域有着广阔的应用前景.
Based on the elemental principles and matrix expressions of three-dimensional holospectrum and multi-sensor information fusion, a new method named the differential 3D-holospectrum, is presented for fault diagnosis of large rotating machinery. The physical explanation of 3D-holospectrum and differential 3D-holospectrum are also put forward in detail. The experimental investigation reveals that the phase and the radius vector of initial phase point in the differential 3D-holospectrum are proportional respectively to the direction and the magnitude of the trial weight, thus the differential 3D-holospectrum can reflect the changes of exciting forces in both the magnitude and the phase simultaneously. Practical cases show that the three-dimensional holospectrum, including the differential 3D-holospectrum and decomposed 3D-holospectrum, fully utilizes vibration information of rotor system in all measuring sections. Thus, the three-dimensional holospectrum is a promising technology in both the fault diagnosis and balancing practice in situ of rotating machinery.
出处
《西安交通大学学报》
EI
CAS
CSCD
北大核心
2004年第9期900-903,共4页
Journal of Xi'an Jiaotong University
基金
国家自然科学基金资助项目(50335030).
关键词
全息谱
故障诊断
信息融合
动平衡
Information analysis
Rotating machinery
Sensor data fusion
Vibration measurement
