Abstract
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.
Original language | English |
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Pages (from-to) | 206-212 |
Number of pages | 7 |
Journal | Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University |
Volume | 32 |
Issue number | 2 |
State | Published - Apr 2014 |
Keywords
- Actuators
- Control surfaces
- Errors
- Estimation
- Experiments
- Failure modes
- Fault tolerance
- Markov processes
- Mathematical models
- Matrix algebra
- Meteorological radar
- Power control
- Reliability
- Reliability analysis
- Sensitivity analysis
- System performance
- Test errors