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Statistically Modeling Fuel Consumption with Heteroscedastic Data.
| 题名： | Statistically Modeling Fuel Consumption with Heteroscedastic Data. |
| 作者： | Dazzio, L. E. |
| 关键词： | Aircrafts, Data acquisition, Data analysis, Observation, Regression analysis, Standards, United states, Databases, Fuel consumption, Engineering, Normal distribution, Computers, Data set, Network science, Air force, Digital data, Artificial neural networks, Data mining, Information science, Data science, Aerospace, Linear regression, Heteroscedasticity, Aircraft fuel consumption, Autopilot performance analysis |
| 摘要： | Aircraft operate in unpredictable environmental conditions. As a result, autopilot design is difficult, as optimal responses cannot be anticipated for all conditions. Consequently, the autopilot might overcorrect for conditions, using more fuel than necessary. By analyzing performance data on a subject aircraft, the relationships between environmental condition variables and fuel consumption using linear regression models have been characterized. These relationships are accurate, even though the data is non-normal and heteroscedastic. |
| 报告类型： | 科技报告 |
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