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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Pingliang Cui Zhisheng Zhang Wei Cai Hong-Zhong Huang Yan-Feng Li Haikun Wang |
| Copyright Year | 2013 |
| Description | Author affiliation: Sch. of Mech., Electron., & Ind. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China (Pingliang Cui; Zhisheng Zhang; Wei Cai; Hong-Zhong Huang; Yan-Feng Li; Haikun Wang) |
| Abstract | Fatigue lifetime assessment for an aircraft engine disc is important for the assessment of the engine reliability. This paper provides a new opinion to the fatigue lifetime assessment for aircraft engine disc based on the multi-source information fusion method using Bayesian inference. Subjective information quantifying method is used to transform the expert knowledge into prior distribution. Different expert prior distributions are characterized by consistent degree. The fusion factor is determined through a Bayesian version of Pearson's goodness-of-fit. This opinion effectively extends sample size and makes up the defects where the traditional methods in small sample fatigue lifetime assessment cannot. |
| Starting Page | 1140 |
| Ending Page | 1142 |
| File Size | 1431678 |
| Page Count | 3 |
| File Format | |
| e-ISBN | 9781479910168 |
| DOI | 10.1109/QR2MSE.2013.6625768 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-07-15 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Multi-source information fusion Reliability theory Aircraft engine disc Fatigue Educational institutions Probability distribution Bayes methods Fatigue lifetime assessmen Bayesian inference Aircraft propulsion |
| Content Type | Text |
| Resource Type | Article |
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