A Combined Polynomial Chirplet Transform and Synchroextracting Technique for Analyzing Nonstationary Signals of Rotating Machinery

Time-frequency analysis (TFA) technique is an effective approach to capture the changing dynamic in a nonstationary signal. However, the commonly adopted TFA techniques are inadequate in dealing with signals having a strong nonstationary characteristic or multicomponent signals having close frequenc...

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Veröffentlicht in:	IEEE transactions on instrumentation and measurement Jg. 69; H. 4; S. 1505 - 1518
Hauptverfasser:	Yu, Kun, Lin, Tian Ran, Ma, Hui, Li, Hongfei, Zeng, Jin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.04.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Chirp Frequency modulation Kernel Nonstationary characteristic polynomial chirplet transform (PCT) Polynomials Rotating machinery Signal processing Signal resolution synchroextracting transform (SET) Time-frequency analysis time–frequency analysis (TFA) Trajectory Transforms vibration signal
ISSN:	0018-9456, 1557-9662
Online-Zugang:	Volltext
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