摘要
文中详细讨论了高阶累积量方法的特点和性质,分析了基于高阶累积量理论的相关信号处理技术,以及在处理随机信号非线性特性时独特的功能;研究了基于高阶累积量方法的振动信号分析处理技术,即双谱分析、112维谱分析以及双相干谱分析方法,分析了各自特点以及它们的估计算法;在此基础上,将其引入到机械传动齿轮系统的故障诊断分析之中,对系统的故障特征进行了提取并对故障类型进行了区分;对不同大小和不同类型故障的传动系统进行实验测试,采用高阶累积量进行特征提取识别,并对高阶累积量理论实际应用效果做了分析评价,表明这是一种较理想有前途的有效方法。
Aim. Ref. 8 by Lai et al on HOC fault detection and diagnosis of a gear system needs, in our opinion, to be refined. In the full paper, We explain our refinements in some detail; in this abstract, we just add some pertinent remarks to listing the two topics of explanation. The first topic is： HOCs and HOC spectrum. In this topic,we mention that HOC spectrum gives such information as phase, amplitude value, double-cycle and symmetry. The second topic is： HOC fault detection of a gear transmission system. In this topic,we did experiments on the vibration response detection of normal gears, gears with cracks at tooth roots, gears with cracks at pitch-circle and gears with tooth face abrasion at different rotating speeds of a running decelerator. Then we analyzed their bispectrum, bicoherence spectrum and 1 1/2 spectrumwith HOCs. The experimental results and their analysis, shown in Figs. 2 through 21 in the full paper, indicate preliminarily that the fault detection and diagnosis of the gears with HOCs are effective and more refined than those achievable by Ref. 8＇s method.
出处
《西北工业大学学报》
EI
CAS
CSCD
北大核心
2008年第2期259-264,共6页
Journal of Northwestern Polytechnical University
基金
国家自然科学基金(50575187)
航空科学基金(01I53073)
陕西省自然科学基金(2004E219)
西北工业大学研究生创业种子基金(Z200524)资助
关键词
齿轮
高阶累积量
故障检测与诊断
谱
gears, higher order cumulant （HOC）, fault detection and diagnosis, spectrum
作者简介
邵忍平（1962～），西北工业大学副教授，南京航空航天大学博士后，主要从事机械动力学、振动噪声与控制、动态信号处理与识别及智能计算检测与诊断等方面研究。
