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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yabing Guo Wenbing Chang Shenghan Zhou |
| Copyright Year | 2015 |
| Description | Author affiliation: Sch. of Reliability & Syst. Eng., Beihang Univ., Beijing, China (Yabing Guo; Wenbing Chang; Shenghan Zhou) |
| Abstract | The paper aims to present an improved methodology of safety assessment with system simulation. In this paper, the Monte Carlo simulation and uncertainty analysis will be applied to the research of FMECA which is the basis of safety assessment. The improved methodology will overcome the shortages of traditional method. At the same time, the idea of the method will provide a comprehensive safety analysis of the system. At last of the paper, an application case about the safety assessment of the control system in unmanned aerial vehicle (UAV) will be set up as typical example to demonstrate the application of the methodology. |
| Starting Page | 1629 |
| Ending Page | 1633 |
| File Size | 1628635 |
| Page Count | 5 |
| File Format | |
| e-ISBN | 9781467380669 |
| DOI | 10.1109/IEEM.2015.7385923 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-12-06 |
| Publisher Place | Singapore |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Analytical models Uncertainty Monte Carlo methods FMECA Safety assessment Control systems Safety Reliability Contracts Monte Carlo simulation |
| Content Type | Text |
| Resource Type | Article |
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