Time Synchronous Averaging Based on Cross-power Spectrum

Abstract Periodic components are of great significance for fault diagnosis and health monitoring of rotating machinery. Time synchronous averaging is an effective and convenient technique for extracting those components. However, the performance of time synchronous averaging is seriously limited whe...

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Bibliographic Details
Main Authors: Ling Wang, Minghui Hu, Bo Ma, Zhinong Jiang
Format: Article
Language:English
Published: SpringerOpen 2023-04-01
Series:Chinese Journal of Mechanical Engineering
Subjects:
Online Access:https://doi.org/10.1186/s10033-023-00867-9
Description
Summary:Abstract Periodic components are of great significance for fault diagnosis and health monitoring of rotating machinery. Time synchronous averaging is an effective and convenient technique for extracting those components. However, the performance of time synchronous averaging is seriously limited when the separate segments are poorly synchronized. This paper proposes a new averaging method capable of extracting periodic components without external reference and an accurate period to solve this problem. With this approach, phase detection and compensation eliminate all segments' phase differences, which enables the segments to be well synchronized. The effectiveness of the proposed method is validated by numerical and experimental signals.
ISSN:2192-8258