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Research on intermittent failure re-presentation of electrical connector based on accelerated test

Author

Listed:
  • Qian Li
  • Kehong Lyu
  • Jing Qiu
  • Guanjun Liu

Abstract

The intermittent failure re-presentation is the basis of intermittent failure detection and diagnosis of electrical connectors. Recently, the method for intermittent failure re-presentation is applying the whole working stress to the electrical connector. To further shorten the re-present cycle, the research on intermittent failure re-presentation of electrical connector based on accelerated test is carried out in this article. First, the model of electric contact and the intermittent failure mechanism of electrical connector is analyzed, and the frequency of intermittent failure is selected as a signature of intermittent failure re-presentation. Then, the accelerated intermittent failure re-presentation model is constructed based on the reaction theory, and the intermittent failure acceleration factor is given. Subsequently, the distribution of intermittent failure frequency is determined using the method of Anderson–Darling goodness-of-fit test. Finally, taking the rectangular electrical connector as the example, the intermittent failure re-presentation based on accelerated test is implemented, and the intermittent failure frequency is obtained. By comparing the estimated value and the measured value, the validity and applicability of the intermittent failure re-presentation method based on accelerated test is verified.

Suggested Citation

  • Qian Li & Kehong Lyu & Jing Qiu & Guanjun Liu, 2019. "Research on intermittent failure re-presentation of electrical connector based on accelerated test," Journal of Risk and Reliability, , vol. 233(3), pages 317-327, June.
    • Handle: RePEc:sae:risrel:v:233:y:2019:i:3:p:317-327
    DOI: 10.1177/1748006X18773009
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    Cited by:

    1. Zunqing Zhu & Qian Li & Yong Zhang & Guanjun Liu & Jing Qiu & Kehong Lyu, 2019. "Optimal design of an electrical connector intermittent fault–accelerated reproduction test based on a genetic algorithm," Journal of Risk and Reliability, , vol. 233(5), pages 857-867, October.

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