Prediction Model of Vibration Feature for Equipment Maintenance Based on Full Vector Spectrum
Joint Authors
Chen, Lei
Han, Jie
Lei, Wenping
Guan, Zhenhong
Gao, Yajuan
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-03-12
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Establishing a prediction model is a key step for the implementation of prognostic and health management.
The prediction model can be used to forecast the change trend of the characteristics of the vibration signal and analyze the potential failure in the future.
Taking the vibration of power plant steam turbine as an example, the full vector fusion and fault prediction were studied.
Due to the fact that the evaluation of the machine fault with only one transducer may result in a fault judgement with partiality, an information fusion method based on the theory of full vector spectrum was adopted to extract the vibration feature.
An autoregressive prediction model was established.
The collected vibration signals with pairing channels were fused.
The time sequence of the fused vectors and spectrums were used to build the prediction model.
The amplitude of main vector of rotating frequency and spectrum order structure were analyzed and predicted.
The uncertainty of the spectrum structure can be eliminated by the information fusion.
The reliability of the fault prediction was improved.
The study on vibration prediction model system laid a technical foundation for the fault prognostic research.
American Psychological Association (APA)
Chen, Lei& Han, Jie& Lei, Wenping& Guan, Zhenhong& Gao, Yajuan. 2017. Prediction Model of Vibration Feature for Equipment Maintenance Based on Full Vector Spectrum. Shock and Vibration،Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1204772
Modern Language Association (MLA)
Chen, Lei…[et al.]. Prediction Model of Vibration Feature for Equipment Maintenance Based on Full Vector Spectrum. Shock and Vibration No. 2017 (2017), pp.1-8.
https://search.emarefa.net/detail/BIM-1204772
American Medical Association (AMA)
Chen, Lei& Han, Jie& Lei, Wenping& Guan, Zhenhong& Gao, Yajuan. Prediction Model of Vibration Feature for Equipment Maintenance Based on Full Vector Spectrum. Shock and Vibration. 2017. Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1204772
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1204772