基于AR双谱与分形盒维数的减压阀故障诊断  

Fault Diagnosis of Pressure Reducing Valve Based on AR Bispectrum and Fractal Box Dimension

作　　者：肖应[1] 刘晓梅[1] 

机构地区：[1]华侨大学机电及自动化学院,福建厦门361021

出　　处：《机床与液压》2013年第7期195-198,共4页Machine Tool & Hydraulics

基　　金：国家自然科学基金资助项目(50975098);2008福建省重大科技专项课题(2008HZ0002-1)

摘　　要：通过采集的减压阀正常和故障下的振动信号,求出了时间序列的自回归双谱和分形盒维数。结果表明:不同状态下的双谱谱图和盒维数有明显的区别,利用AR双谱和盒维数可以有效地诊断出减压阀的工作状态。The fractal box dimensions were calculated and the AR bispeetrum were figured out by using the vibration signal with normal and faulty of pressure reducing valve collected. The results show that the AR bispectrum and the box dimensions are quite different in evidence under different conditions. So the working condition of pressure reducing valve can be effectively diagnosed by the AR bispeetrum and fractal box dimension.

关 键 词：减压阀 自回归双谱 分形 盒维数 故障诊断 

分 类 号：TH138.521[机械工程—机械制造及自动化] TH165.3