发明名称 Method and device for predicting the condition of a component or system, computer program product
摘要 A device method and computer program product are disclosed for trend prediction of the course of a time-dependent series of data points of a component or system, particularly for an aircraft or spacecraft, including: providing an optimised decision tree, the input node of which is provided for inputting an input vector, the nodes of which contain the data points of a respective input vector and the leaves of which each contain an extrapolation function; iteratively calculating future data points by a respective time-dependent series of data points being inputted into the decision tree as an input vector and the decision tree calculating therefrom a data point subsequent to the last data point of the input vector in an automated manner, the calculated subsequent data point being added to the time-dependent series of data points in order to be used as a new input vector for the next iteration step.
申请公布号 US9449274(B2) 申请公布日期 2016.09.20
申请号 US201314089145 申请日期 2013.11.25
申请人 Airbus Operations GmbH 发明人 Randerath Bernhard;Gerdes Mike;Scholz Dieter
分类号 G06N5/04;G06N5/02;G05B23/02;G06N99/00 主分类号 G06N5/04
代理机构 Jenkins, Wilson, Taylor & Hunt, P.A. 代理人 Jenkins, Wilson, Taylor & Hunt, P.A.
主权项 1. A computer-implemented method for predicting the condition of a component or system, in particular for an aircraft or spacecraft, by trend prediction of the course of a time-dependent series of data points determined at the component or system by measuring, the method comprising: providing an optimised decision tree, the input node of which is provided for inputting an input vector, the nodes of which contain the attributes of the respective input vector and the leaves of which each contain an extrapolation function provided for trend prediction; iteratively calculating future data points by an input vector being derived from a time-dependent series of data points and the decision tree calculating a data point subsequent to the last data point of the time-dependent series of data points from the input vector in an automated manner, the calculated subsequent data point being added to the time-dependent series of data points in order to be used for forming a new input vector for the next iteration step.
地址 Hamburg DE