公开(公告)号：US20190108452A1

公开(公告)日：2019-04-11

申请号：US15726638

申请日：2017-10-06

Applicant: General Electric Company

Inventor： Abha Moitra ,  Andrew Walter Crapo ,  Marc Thomas Edgar ,  Ravi Kiran Reddy Palla

IPC: G06N5/04 ,  G06N5/02

Abstract: A method for knowledge management using concept rules includes receiving event data corresponding to an industrial application and generating at least one inference concept based on the event data. The method also includes obtaining a semantic model having a plurality of inference concepts, a plurality of relationships among the plurality of inference concepts, and a plurality of concept rules representative of domain knowledge. The plurality of concept rules is authored using the plurality of inference concepts and the plurality of relationships. Furthermore, the method includes processing the at least one inference concept based on the semantic model to generate inferential data. The inferential data is representative of an inference corresponding to the event data. In addition, the method includes controlling the industrial application based on the inferential data.

公开(公告)号：US20150317337A1

公开(公告)日：2015-11-05

申请号：US14704939

申请日：2015-05-05

Applicant: GENERAL ELECTRIC COMPANY

Inventor： Marc Thomas Edgar

IPC: G06F17/30 ,  G06N5/02

CPC classification number: G06Q10/00 ,  G06F16/217 ,  G06F19/328 ,  G06N5/02 ,  G06N5/022 ,  G16H50/70

Abstract: Certain examples provide systems and methods to identify and drive actionable insight from data. An example system includes a configured processor that is configured to: identify, using the processor, a pattern in a data set using an analytic algorithm, the data set associated with a domain; process, using the processor, the identified pattern to assign a score to the identified pattern based on a comparison to statistical model meta data; construct, using the processor, a semantic model modeling people, processes, and systems associated with the domain; combine, using the processor, the identified pattern with the semantic model; determine, using the semantic model and the processor, an output including: a) a root cause for the identified pattern and b) a recommended action to remediate the root cause; and facilitate, using the processor, execution of the recommended action based on a trigger associated with the output.

Abstract translation: 某些示例提供了从数据中识别和驱动可操作洞察的系统和方法。 一个示例系统包括配置的处理器，其被配置为：使用分析算法，与域相关联的数据集，识别使用处理器的数据集中的模式; 过程，使用处理器，所识别的模式基于与统计模型元数据的比较来将分数分配给所识别的模式; 使用处理器构建模型与域相关联的人，过程和系统的语义模型; 使用处理器，将识别的模式与语义模型相结合; 确定使用语义模型和处理器的输出，包括：a）识别模式的根本原因，以及b）修复根本原因的建议措施; 并且基于与输出相关联的触发来促进使用处理器来执行推荐的动作。