华南理工大学学报(自然科学版)

• 计算机科学与技术 • 上一篇    下一篇

突变信号的时幅拐点分析法

戴屹梅1 张和生1 李东2 齐红梅1 方轲1   

  1.  1. 北京交通大学 电气工程学院,北京 100044; 2. 华南理工大学 软件学院,广东 广州 510006
  • 收稿日期:2016-10-28 出版日期:2017-07-25 发布日期:2017-06-01
  • 通信作者: 戴屹梅( 1970-) ,女,博士生,高级工程师,主要从事信号采集、数值分析、高速轴承故障诊断等研究. E-mail:daiym@spacechina.com
  • 作者简介:戴屹梅( 1970-) ,女,博士生,高级工程师,主要从事信号采集、数值分析、高速轴承故障诊断等研究.
  • 基金资助:
     广东省科技计划项目( 2015B010103002,2016B09098062) ; 北京航天动力研究所委托项目( E14GY500010)

A Method to Analyze Amplitude-Time Inflection Point of Mutation Signals

DAI Yi-mei1 ZHANG He-sheng1 LI Dong2 QI Hong-mei1 FANG Ke1   

  1. 1.School of Electrical Engineering,Beijing Jiaotong University,Beijing 100044,China; 2.School of Software Engineering,South China University of Technology,Guangzhou 510640,Guangdong,China
  • Received:2016-10-28 Online:2017-07-25 Published:2017-06-01
  • Contact: 戴屹梅( 1970-) ,女,博士生,高级工程师,主要从事信号采集、数值分析、高速轴承故障诊断等研究. E-mail:daiym@spacechina.com
  • About author:戴屹梅( 1970-) ,女,博士生,高级工程师,主要从事信号采集、数值分析、高速轴承故障诊断等研究.
  • Supported by:
    Supported by the Science and Technology Plan of Guangdong Province( 2015B010103002,2016B09098062)

摘要: 为解决发动机高速轴承振动数据时域信号中隐藏的突变信号难以精确时频定位的问题,提出一种突变信号的时幅拐点分析算法. 该算法首先通过离散傅里叶变换对信号
进行特征频率的提取,再针对该特征频率进行时移傅里叶分析,通过该频率时移傅里叶分析下的时幅拐点找出突变信号的进入时刻和消失时刻,最后通过对确定时段内的信号进行二次傅里叶分析获得该突发信号的幅值. 理论分析、理论仿真和高速轴承振动数据工程仿真验证均表明,该算法能准确捕捉和提取突变信号的幅值及其在振动信号中的出现时刻和消失时刻.

关键词: 突变信号, 傅里叶变换, 时幅拐点, 频率分析

Abstract: As the mutation signals hidden in the vibration data of engine's high-speed bearing are difficult to pin- point in time domain,a new algorithm to obtain the amplitude-time inflection point of mutation signals is proposed.Firstly,the characteristic frequency of the signal is extracted via discrete Fourier transform.Secondly,a time-lapse Fourier analysis of the frequency is executed,which helps obtain amplitude-time inflection points.Then,the ap- pearing and disappearing moments of the mutation signal are discovered according to the inflection points.Finally,the amplitude of the mutation signal is obtained via the quadratic Fourier analysis of the signal in a certain period.The results of theoretical analysis,theoretical simulation and engineering simulation all indicate that the proposed algorithm can capture the amplitude of mutation signals accurately,and obtain the appearing and disappearing mo- ments of mutation signals in vibration data.

Key words: mutation signal, Fourier transform, amplitude-time inflection point, frequency analysis