Demodulated synchrosqueezing S-transform and its application to machine-fault diagnosis

被引：3
|
作者：
Liu, Wei [1 ,2 ]
Liu, Yang [1 ,2 ]
Li, Shuangxi [1 ,2 ]
Zhai, Zhixing [1 ,2 ]
机构：
[1] Beijing Univ Chem Technol, Coll Mech & Elect Engn, Beijing 100029, Peoples R China
[2] Beijing Univ Chem Technol, Beijing Key Lab Hlth Monitoring Control & Fault Se, Beijing 100029, Peoples R China
来源：
MEASUREMENT SCIENCE AND TECHNOLOGY | 2023年 / 34卷 / 06期
基金：
国家重点研发计划;
关键词：
fault diagnosis; time-frequency representation; demodulation algorithm; synchrosqueezing S-transform; feature extraction; FREQUENCY; SIGNALS;
D O I：
10.1088/1361-6501/acbab1
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The time-frequency analysis (TFA) technique has been viewed as a useful tool for processing non-stationary signals in the field of industrial machinery. Rub-impacts of a rotor system will cause vibration of the rotor and stator, thus any vibration signal with rub-impacts will be accompanied by high-frequency oscillation characteristics. In this paper, a novel TFA algorithm, termed a demodulated synchrosqueezing S-transform (DSSST), is proposed to extract the strong time-varying features in rub-impact vibration signals. The DSSST method is based on a modified S-transform, and introduces a pre-processing technique, a demodulation algorithm, to partially demodulate the oscillated modes for rub-impact identification. Meanwhile, a synchrosqueezing transform is utilized to further sharpen the time-frequency representation. Assisted by the proposed method, the rub-impact phenomenon and its impact frequency are clearly recognized through experimental and real validations.
引用
收藏
页数：11
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