Sequential ALT plans for systems with mixture of units

Yao Cheng, E Elsayed

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Statistics-based failure models utilize the failure data to evaluate the unit's reliability but fail to consider the physics of failure process of a unit. On the other hand, physics of failure models consider the failure mechanism and evaluate the reliability based on the design and life cycle of the unit but they ignore the uncertainty in the modeling process. In this paper, we develop a physics-statistics-based failure model to investigate a system which is composed of units with different characteristics and develop sequential non-destructive tests (under either normal or accelerated conditions) to estimate its reliability. Moreover, by applying the physics-statistics-based failure model which relates the failure time directly to the applied stresses, we optimally design a sequence of non-destructive tests with accelerated stresses. As the number of units in the system becomes large, we selected samples to conduct such reliability testing. The optimal design of the test is affected by the system's status and previous test plans. The designed ALT plans can also be applied to predict the reliability of the system at the end of the tests.

Original languageEnglish (US)
Title of host publicationProceedings - 21st ISSAT International Conference on Reliability and Quality in Design
EditorsHoang Pham
PublisherInternational Society of Science and Applied Technologies
Pages7-11
Number of pages5
ISBN (Electronic)9780991057627
StatePublished - Jan 1 2015
Event21st ISSAT International Conference on Reliability and Quality in Design - Philadelphia, United States
Duration: Aug 6 2015Aug 8 2015

Publication series

NameProceedings - 21st ISSAT International Conference on Reliability and Quality in Design

Other

Other21st ISSAT International Conference on Reliability and Quality in Design
CountryUnited States
CityPhiladelphia
Period8/6/158/8/15

All Science Journal Classification (ASJC) codes

  • Safety, Risk, Reliability and Quality

Keywords

  • Mean residual life (MRL)
  • Non-identical units
  • Reliability modeling
  • Sample
  • Sequential ALT test plans

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