Open AccessModal parameter identification of rotating machinery based on time domain synchronous averaging
Author(s) -
Zhuzhu Zhang,
Ting Wang,
Congying Deng,
Yang Zhao,
Haiyan Deng
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1846/1/012015
Subject(s) - harmonics , modal , identification (biology) , modal analysis , time domain , white noise , operational modal analysis , vibration , computer science , frequency domain , noise (video) , control theory (sociology) , harmonic analysis , modal testing , random vibration , engineering , acoustics , electronic engineering , physics , artificial intelligence , voltage , telecommunications , chemistry , botany , image (mathematics) , control (management) , polymer chemistry , electrical engineering , computer vision , biology
Operational modal analysis (OMA) is an important method of structural dynamic design and mechanical fault diagnosis. It is the application of parameter identification in the field of engineering vibration. Traditional operational modal analysis is based on the random response of white noise. However, when rotating machinery structure is running at high speed, it will produce a lot of harmonic interference, which will affect the identification effect. In this paper, the time domain synchronous averaging technique is used to remove the periodic harmonics in the response. For the random response part, the method of combining NExT and ITD is used to identify the modal parameters.