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 language | English |
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Article number | 8395315 |
Pages (from-to) | 161-174 |
Number of pages | 14 |
Journal | IEEE Transactions on Reliability |
Volume | 68 |
Issue number | 1 |
DOIs | |
Publication status | Published - Mar 2019 |
Keywords
- Finite Markov chain imbedding approach
- Performance classification
- Start-up demonstration tests
- Start-up reliability
- Waiting time distribution