NDLI: A new improved Synchrosqueezing Transform based on adaptive short time fourier transform

Content Provider	IEEE Xplore Digital Library
Author	Yanjie Guo Zuowei Fang Xuefeng Chen
Copyright Year	2014
Description	Author affiliation: Sch. of Mech. Eng., Xi'an Jiaotong Univ., Xi'an, China (Yanjie Guo; Zuowei Fang; Xuefeng Chen)
Abstract	The vibration signals during the run-up and run-down periods of rotating machinery are nonstationary. The normal types of time frequency (TF) analysis algorithms have been widely used in the nonstationary condition. But those methods show imperfection for drastically changing vibration signal. Synchrosqueezing Transform (SST) is an adaptive and invertible transform. However, the original SST method is not suitable for vibration signals with abruptly instantanous frequency (IF). In this paper, SST based on adaptive short time Fourier transform(ASTFT) is proposed to improve the time resolution of drastically changing vibration signal. Compared with Short Time Fourier Transform (STFT), SST and Generalized Synchrosqueezing Transform (GST) based on STFT, SST based on ASTFT is of good performance with high computing speed. Experiments were conducted by using SQI motor simulator to validate the proposed method. The vibration signals of a motor with fault were collected during the run-down process and analysed by the proposed method.The results showed that the fault feature frequency of the motor can be accurately captured, which suggests that the proposed approach is effective for analyzing the actute variation signals.
Starting Page	329
Ending Page	334
File Size	326951
Page Count	6
File Format	PDF
ISBN	9781479947317
e-ISBN	9781479947300
DOI	10.1109/FENDT.2014.6928290
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-06-20
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vibrations Time frequency resolution Time-frequency analysis Chirp Transforms Synchrosqueezing transforms Mathematical model Adaptive short time Fourier transform Signal resolution Standards
Content Type	Text
Resource Type	Article

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