[1]杨龙兴,贾民平.旋转机械故障诊断的1 1/2维循环谱分析方法[J].东南大学学报(自然科学版),2004,34(6):766-770.[doi:10.3969/j.issn.1001-0505.2004.06.011] 　Yang Longxing,Jia Minping.Analysis method of rotation machinery fault diagnosis using 1 1/2 dimension cyclic spectrum[J].Journal of Southeast University (Natural Science Edition),2004,34(6):766-770.[doi:10.3969/j.issn.1001-0505.2004.06.011] 点击复制 旋转机械故障诊断的1 1/2维循环谱分析方法() 分享到： var jiathis_config = { data_track_clickback: true };

34

2004年第6期

766-770

2004-11-20

文章信息/Info

Title:
Analysis method of rotation machinery fault diagnosis using 1 1/2 dimension cyclic spectrum

1 江苏技术师范学院机械工程系, 常州 213001; 2 东南大学机械工程系, 南京 210096
Author(s):
1 Department of Mechanical Engineering, Jiangsu Teachers University of Technology, Changzhou 213001, China
2 Department of Mechanical Engineering, Southeast University, Nanjing 210096, China

Keywords:

TP206
DOI:
10.3969/j.issn.1001-0505.2004.06.011

Abstract:
This paper introduces high-order cyclic cumulation and spectrum coherence definition, and explains the high-order cyclic cumulation features which suppress noises and hold phase. Based on cyclic spectrum coherence definition, a method using 1 1/2 dimension cyclic spectrum to distinguish linear or nonlinear characteristic is presented since longer time series is required to analyze high-order cyclic cumulation. This method holds the high-order cyclic cumulation features in suppressing noises, extracting nonlinear coupling characteristic and separating cyclostationary component from stationary component, and decreases the analysis length of time series and increases the real time degree of inspection. The nonlinear square phase coupling signal and the bearing fault signal are used to simulate and testify the validity of this method.

参考文献/References:

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