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Prognostic and Remaining Life Prediction of Electronic Device under Vibration Condition Based on CPSD of MPI
Joint Authors
Chen, Ying
Tang, Ning
Yuan, Zenghui
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-11-23
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Prognostic of electronic device under vibration condition can help to get information to assist in condition-based maintenance and reduce life-cycle cost.
A prognostic and remaining life prediction method for electronic devices under random vibration condition is proposed.
Vibration response is measured and monitored with acceleration sensor and OMA parameters, including vibration resonance frequency, especially first-order resonance frequency, and damping ratio is calculated with cross-power spectrum density (CPSD) method and modal parameter identification (MPI) algorithm.
Steinberg vibration fatigue model which considers transmissibility factor is used to predict the remaining life of electronic component.
Case study with a test board is carried out and remaining life is predicted.
Results show that with this method the vibration response characteristic can be monitored and predicted.
American Psychological Association (APA)
Chen, Ying& Tang, Ning& Yuan, Zenghui. 2016. Prognostic and Remaining Life Prediction of Electronic Device under Vibration Condition Based on CPSD of MPI. Shock and Vibration،Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1118918
Modern Language Association (MLA)
Chen, Ying…[et al.]. Prognostic and Remaining Life Prediction of Electronic Device under Vibration Condition Based on CPSD of MPI. Shock and Vibration No. 2016 (2016), pp.1-11.
https://search.emarefa.net/detail/BIM-1118918
American Medical Association (AMA)
Chen, Ying& Tang, Ning& Yuan, Zenghui. Prognostic and Remaining Life Prediction of Electronic Device under Vibration Condition Based on CPSD of MPI. Shock and Vibration. 2016. Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1118918
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1118918