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conference paper · International Conference on Reliability, Maintainability and Safety · 2014

Information fusion based on equipment reliability prediction

Mingfei Xia, Xudong Zhan, Mingqi Xia, Juntao Ma

Cited by 1Abstract and details only

Abstract

Traditional reliability assessment methods are generally on the basis of failure lifetime data. The failure lifetime data of high reliability and long lifetime product are obtained difficultly by life test and accelerated life test. Degradation data can provide useful information about the reliability assessment for these products. Aiming at these problems, a method of reliability prediction is presented based on failure data's reliability assessment, accelerated performance degradation and information fusion theory. Finally, this paper gives a case of accelerated performance degradation testing of 24V/2A power supply board to steady voltage to apply the method, whose results demonstrate that this method is correct and valid for reliability assessment of high reliability and long life electronic equipments.

Cite this paper

APA 7

Xia, M., Zhan, X., Xia, M., & Ma, J. (2014). Information fusion based on equipment reliability prediction. International Conference on Reliability, Maintainability and Safety, 39, 606–609. https://doi.org/10.1109/icrms.2014.7107267

MLA 9

Xia, Mingfei, et al. “Information fusion based on equipment reliability prediction.” International Conference on Reliability, Maintainability and Safety, vol. 39, 2014, pp. 606–09, https://doi.org/10.1109/icrms.2014.7107267.

Chicago

Xia, Mingfei, Xudong Zhan, Mingqi Xia, and Juntao Ma. 2014. “Information fusion based on equipment reliability prediction.” International Conference on Reliability, Maintainability and Safety 39: 606–09. https://doi.org/10.1109/icrms.2014.7107267.

Harvard

Xia, M. et al. (2014) ‘Information fusion based on equipment reliability prediction’, International Conference on Reliability, Maintainability and Safety, 39, pp. 606–609. Available at: https://doi.org/10.1109/icrms.2014.7107267.

BibTeX
@article{xia2014information,
  title = {{Information fusion based on equipment reliability prediction}},
  author = {Xia, Mingfei and Zhan, Xudong and Xia, Mingqi and Ma, Juntao},
  journal = {International Conference on Reliability, Maintainability and Safety},
  volume = {39},
  pages = {606--609},
  year = {2014},
  doi = {10.1109/icrms.2014.7107267}
}

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