Demodulated High-Order Synchrosqueezing Transform With Application to Machine Fault Diagnosis

被引：68
|
作者：
Tu, Xiaotong [1 ]
Hu, Yue [1 ]
Li, Fucai [1 ]
Abbas, Saqlain [1 ]
Liu, Zhen [1 ]
Bao, Wenjie [1 ]
机构：
[1] Shanghai Jiao Tong Univ, State Key Lab Mech Syst & Vibrat, Shanghai 200240, Peoples R China
来源：
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS | 2019年 / 66卷 / 04期
基金：
中国国家自然科学基金;
关键词：
Fault detection; instantaneous frequency(IF); planetary gearbox; synchrosqueezing; time-frequency (TF); variable speed conditions; INSTANTANEOUS FREQUENCY ESTIMATION; SIGNALS; ROTOR; EXTRACTION; BEARING;
D O I：
10.1109/TIE.2018.2847640
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Time-frequency analysis (TFA) is considered as a useful tool to extract the time-variant features of the nonstationary signal. In this paper, a new method called demodulated high-order synchrosqueezing transform (DHST) is proposed. The DHST introduces a two-step algorithm, namely, demodulated transform and high-order synchrosqueezing method to achieve a compact time-frequency representation (TFR) while enabling the reconstruction of the signal from TFR. The performance of the proposed DHST method in this paper is validated by both the simulated and experimental signals including bat echolocation and a vibration signal. The results show that the proposed TFA method is more effective in processing the nonstationary signals with fast varying instantaneous frequency.
引用
收藏
页码：3071 / 3081
页数：11
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