Reliability and failure behavior model of optoelectronic devices

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Recent dramatic development of science and technology has made optoelectronic devices, a crucial pole in many sophisticated systems, more powerful, accurate and complicated than ever. As a result, the development of these optoelectronic products not only increases the complexity of their structures, but leads to increasing challenge to predict the reliability of them. Based on this situation, this paper provides an engineering method to obtain the reliability prediction of optoelectronic products. In addition, several kinds of software have to be utilized to assist with computation in the method. Pspice is used to simulate the electrical stress, Calce FAST mainly resolve life prediction problems correlating electro-mechanism individually, and MATLAB is utilized to fit the degradation curves according to enough data which have been obtained above. Finally, a system failure mechanism tree which considering each failure mechanism is established. The result of lifetime prediction of sun sensor would be obtained according to the failure mechanism tree.

Original languageEnglish
Title of host publicationICIMSA 2016 - 2016 3rd International Conference on Industrial Engineering, Management Science and Applications
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509016716
DOIs
StatePublished - 5 Jul 2016
Event3rd International Conference on Industrial Engineering, Management Science and Applications, ICIMSA 2016 - Jeju Island, Korea, Republic of
Duration: 23 May 201626 May 2016

Publication series

NameICIMSA 2016 - 2016 3rd International Conference on Industrial Engineering, Management Science and Applications

Conference

Conference3rd International Conference on Industrial Engineering, Management Science and Applications, ICIMSA 2016
Country/TerritoryKorea, Republic of
CityJeju Island
Period23/05/1626/05/16

Keywords

  • Failure behavior
  • Failure mechanism tree
  • Nonlinear sequence accumulation

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