Feature Extraction Using Parameterized Multisynchrosqueezing Transform

被引：90
作者：
Li, Xinyan [1 ]
Zhao, Huimuin [1 ,2 ]
Yu, Ling [3 ]
Chen, Huayue [4 ]
Den, Wuquan [5 ,6 ]
Deng, Wu [1 ,2 ]
机构：
[1] Civil Aviat Univ China, Sch Elect Informat & Automat, Tianjin 300300, Peoples R China
[2] Southwest Jiaotong Univ, Tract Power State Key Lab, Chengdu 610031, Peoples R China
[3] China Household Elect Appliance Res Inst, Beijing 100176, Peoples R China
[4] China West Normal Univ, Sch Comp Sci, Nanchong 637002, Peoples R China
[5] Chongqing Univ, Dept Endocrinol, Cent Hosp, Chongqing 400014, Peoples R China
[6] Chongqing Univ, Minist Educ, Key Lab Biorheol Sci & Technol, Chongqing 400014, Peoples R China
来源：
IEEE SENSORS JOURNAL | 2022年 / 22卷 / 14期
基金：
中国国家自然科学基金;
关键词：
Time-frequency analysis; Transforms; Kernel; Sensors; Feature extraction; Interference; Frequency modulation; Parametrized time-frequency analysis; synchrosqueezing transform; weighted least squares; instantaneous frequency; feature extraction; TIME-FREQUENCY ANALYSIS; FAULT-DIAGNOSIS; SYNCHROSQUEEZING TRANSFORM; VARYING-SPEED; SIGNALS;
D O I：
10.1109/JSEN.2022.3179165
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Parametrized time-frequency analysis (PTFA) can effectively improve time-frequency energy aggregation of non-stationary signal and immunity of cross term interference, but it exists the energy diffusion near the real instantaneous frequency. The improved multi-synchrosqueezing transform (IMSST) can improve the time-frequency energy aggregation, but it still has defects in processing strong FM and AM signals under noise interference. Therefore, in order to make use of their advantages and overcome their disadvantages, a novel parametrized multi-synchrosqueezing transform method based on weighted least square, IMSST and PTFA, namely PMSST is proposed in this paper. In the PMSST, the IMSST is designed to obtain the signal time-frequency representation with high energy aggregation. Then the ridge extraction algorithm is employed to extract the instantaneous frequency ridges of each mono-component signal. The weighted least square method is used to estimate the parameters of parameterized transform kernel. Finally, time-frequency spectrum is superimposed to obtain the time-frequency energy representation of the enhanced signal. The experiment results show that the PMSST can effectively process non-stationary signals with varying instantaneous frequency by the simulated signal and actual fault signals.
引用
收藏
页码：14263 / 14272
页数：10
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