Resolving Non-Proportional Frequency Components in Rotating Machinery Signals Using Local Entropy Selection Scaling–Reassigning Chirplet Transform

Resolving Non-Proportional Frequency Components in Rotating Machinery Signals Using Local Entropy Selection Scaling–Reassigning Chirplet Transform

Under complex operating conditions, vibration signals from rotating machinery often exhibit non-stationary characteristics with non-proportional and closely spaced instantaneous frequency (IF) components. Traditional time–frequency analysis (TFA) methods struggle to accurately extract such features...

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Bibliographic Details
Main Authors: Dapeng Quan, Yuli Niu, Zeming Zhao, Caiting He, Xiaoze Yang, Mingyang Li, Tianyang Wang, Lili Zhang, Limei Ma, Yong Zhao, Hongtao Wu
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Aerospace
Subjects:
time–frequency analysis
vibration signals
non-proportional instantaneous frequency
fault diagnosis
Local Entropy Selection Scaling–Reassigning Chirplet Transform
Online Access:https://www.mdpi.com/2226-4310/12/7/616
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