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Start-up demonstration tests with the intent of equipment classification for balanced systems

  • Xian Zhao*
  • , Xiaoyue Wang
  • , David W. Coit
  • , Yuan Chen
  • *Corresponding author for this work
    • Beijing Institute of Technology
    • Rutgers - The State University of New Jersey, New Brunswick
    • Ohio University

    Research output: Contribution to journalArticlepeer-review

    Abstract

    A start-up demonstration test is a mechanism that is often applied to determine the acceptability of equipment. Two new start-up demonstration tests are derived and demonstrated with the intent of equipment classification based on the testing results. The two new tests are called the CSTSCFTF-AMGC and CS (1) CS (1)(2) TF (1)(2) TF (2) -AMGC start-up demonstration tests. By using the finite Markov chain imbedding approach, several probabilistic indexes are presented for the new start-up demonstration tests based on the assumption that the tests are independent and identically distributed cases. Two types of optimization models are formulated and solved for the new start-up demonstration tests. Numerical examples are then presented to demonstrate the new start-up demonstration tests. This basic idea of equipment classification can be easily extended to other traditional start-up demonstration tests.

    Original languageEnglish
    Article number8395315
    Pages (from-to)161-174
    Number of pages14
    JournalIEEE Transactions on Reliability
    Volume68
    Issue number1
    DOIs
    Publication statusPublished - Mar 2019

    Keywords

    • Finite Markov chain imbedding approach
    • Performance classification
    • Start-up demonstration tests
    • Start-up reliability
    • Waiting time distribution

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