发明名称 |
Analyzing flight data using predictive models |
摘要 |
<p>Various embodiments for analyzing flight data using predictive models are described herein. In various embodiments, a quadratic least squares model is applied to a matrix of time-series flight parameter data for a flight, thereby deriving a mathematical signature for each flight parameter of each flight in a set of data including a plurality of sensor readings corresponding to time-series flight parameters of a plurality of flights. The derived mathematical signatures are aggregated into a dataset. A similarity between each pair of flights within the plurality of flights is measured by calculating a distance metric between the mathematical signatures of each pair of flights within the dataset, and the measured similarities are combined with the dataset. A machine-learning algorithm is applied to the dataset, thereby identifying, without predefined thresholds, clusters of outliers within the dataset by using a unified distance matrix.</p> |
申请公布号 |
AU2013359159(A1) |
申请公布日期 |
2015.06.04 |
申请号 |
AU20130359159 |
申请日期 |
2013.12.12 |
申请人 |
UNIVERSITY OF NORTH DAKOTA |
发明人 |
DESELL, TRAVIS;HIGGINS, JIM;CLACHAR, SOPHINE |
分类号 |
G01C23/00;G06Q10/00;G06Q10/04;G06Q10/10;G06Q50/30 |
主分类号 |
G01C23/00 |
代理机构 |
|
代理人 |
|
主权项 |
|
地址 |
|