公开(公告)号：US20150106313A1

公开(公告)日：2015-04-16

申请号：US14512159

申请日：2014-10-10

Applicant: General Electric Company

Inventor： Neil Holger White Eklund ,  Mohak Shah ,  Daniel Edward Marthaler ,  Christina Marie Brasco

IPC: G06N3/08

CPC classification number: G06N3/02

Abstract: A method, medium, and system to receive actual operational flight data for an engine of a particular type and configuration; train a neural network to generate an indicator of the health of the engine based on multiple different inputs to the neural network at a time the flight data was acquired; determine a deterioration factor for the engine, based at least in part, on an operational climate for the engine; and provide a record of the determined deterioration factor.

Abstract translation: 一种用于接收特定类型和配置的发动机的实际操作飞行数据的方法，介质和系统; 训练神经网络以在获取飞行数据时基于对神经网络的多个不同输入来生成引擎健康的指示符; 至少部分地基于发动机的运行气候来确定发动机的劣化因子; 并提供确定的退化因子的记录。

公开(公告)号：US20140188768A1

公开(公告)日：2014-07-03

申请号：US13729720

申请日：2012-12-28

Applicant: GENERAL ELECTRIC COMPANY

Inventor： Piero Patrone Bonissone ,  Neil Holger White Eklund ,  Feng Xue ,  Naresh Sundaram Iyer ,  Weizhong Yan

IPC: G06N99/00

CPC classification number: G06N20/00

Abstract: A computer-implemented system for creating customized model ensembles on demand is provided. An input module is configured to receive a query. A selection module is configured to create a model ensemble by selecting a subset of models from a plurality of models, wherein selecting includes evaluating an aspect of applicability of the models with respect to answering the query. An application module is configured to apply the model ensemble to the query, thereby generating a set of individual results. A combination module is configured to combine the set of individual results into a combined result and output the combined result, wherein combining the set of individual results includes evaluating performance characteristics of the model ensemble relative to the query.

Abstract translation: 提供了一种用于根据需要创建定制模型组合的计算机实现的系统。 输入模块被配置为接收查询。 选择模块被配置为通过从多个模型中选择模型的子集来创建模型集合，其中选择包括评估模型在回答查询时的适用性的一个方面。 应用模块被配置为将模型集合应用于查询，从而生成一组单独的结果。 组合模块被配置为将该组个体结果组合成一个组合结果并输出组合结果，其中组合该单独结果包括评估模型集合相对于该查询的性能特征。

公开(公告)号：US20140188772A1

公开(公告)日：2014-07-03

申请号：US13728755

申请日：2012-12-27

Applicant: GENERAL ELECTRIC COMPANY

Inventor： Dustin Ross Garvey ,  Neil Holger White Eklund ,  Feng Xue

IPC: G06N5/02

CPC classification number: G06F11/008 ,  G05B23/024 ,  G06F11/3055

Abstract: A computer-implemented method for detecting a change in state of a physical asset is performed by a computer device. The computer device includes a processor and a memory device. The method includes receiving at least one input signal associated with the physical asset in a time period. The time period includes a first period and a second period. The method further includes receiving at least one output signal associated with the physical asset in the time period. The method also includes generating a predicted estimate and estimate residuals based upon the at least one input signal. The method additionally includes determining estimation errors. The method also includes detecting a probability of change in state of the physical asset. The method further includes transmitting the probability of change in state of the physical asset to a servicer of the physical asset.

Abstract translation: 用于检测物理资产的状态变化的计算机实现的方法由计算机设备执行。 计算机设备包括处理器和存储设备。 该方法包括在一段时间内接收与物理资产相关联的至少一个输入信号。 时间段包括第一周期和第二周期。 该方法还包括在该时间段内接收与物理资产相关联的至少一个输出信号。 该方法还包括基于至少一个输入信号生成预测估计和估计残差。 该方法还包括确定估计误差。 该方法还包括检测物理资产状态变化的概率。 该方法还包括将物理资产状态的变化概率发送给实体资产的服务者。