System reliability and performance estimation under test errors

Aiming at the inevitable errors in system online test and the performance degradation out of normal state, an estimation method for both system reliability and performance is proposed. Using the Markov reliability analysis approach, we classify and analyze the fault modes for the key equipment, and then the Markov reliability model is developed. With the test error probability consideration and performance weighting in the corresponding system state, the system reliability and performance estimation with imperfect tests are completed. Furthermore, the engineering operation flow of this method is established, and the feasibility and validity of this method are verified through some weather radar real test data. In the end, an aircraft elevator system is taken as an example for engineering application; the results and their analysis show preliminarily the advantages of this method in reliability and performance evaluation.