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- Title
Multivariant linear regression model based response prediction in situation of unknown uncorrelated multiple sources load.
- Authors
Wei Zhan; Cheng Wang
- Abstract
In order to predict response in the situation of unknown uncorrelated multiple sources load, a new response prediction method in frequency domain is proposed. The algorithm needs no transfer function and straightforwardly looking for the inner link between the known responses and the unknown responses. In the multivariant linear regression model, the vibration data of known measuring points are used as input and the vibration data of the unknown measuring points are used as output. And the parameters of multivariant linear regression model are solved by historical training data and the least squares generalized inverse. Experiment verification results of acoustic and vibration sources on cylindrical shell showed that the proposed approach could predict vibration response effectively and satisfy industrial requirements.
- Subjects
ENGINEERED cylindrical shell vibration; VIBRATION (Mechanics); REGRESSION analysis; ALGORITHMS; LEAST squares
- Publication
Vibroengineering Procedia, 2017, Vol 14, p271
- ISSN
2345-0533
- Publication type
Article
- DOI
10.21595/vp.2017.19115