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1.发明授权Function-based method for classifying and fusing system behavior information in product development 有权基于功能的方法，对产品开发中的系统行为信息进行分类和融合公开(公告)号：US09317596B2
公开(公告)日：2016-04-19
申请号：US14551723
申请日：2014-11-24
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Joseph A. Donndelinger , John A. Cafeo , Soumen De , Dnyanesh Rajpathak , Prakash M. Peranandam , Kay L. Darden
IPC: G06F17/30
CPC classification number: G06F17/30734 , G06F17/30336 , G06F17/30604 , G06F2201/80 , G06Q10/06 , G06Q10/10
Abstract: A method of automatically developing an ontology for product function and failure mode documentation for an apparatus. The apparatus is identified. A function-flow model is generated for the identified apparatus for identifying a composite structure of the apparatus. Functions and failure modes associated with the identified apparatus are enumerated. Failure data is obtained from a plurality of heterogeneous data sources. A semantic similarity module is applied to the enumerated failures by comparing a plurality of documents between the data sources. The semantic similarity module bridges a variety of terms used in the heterogeneous data to describe a respective failure. Failures associated with the enumerated apparatus functions are extracted from the plurality of documents between heterogeneous data sources. A composite of related terminology is generated for each identified failure mode. A failure mode information document is generated utilizing the composite of related terminology for each identified failure mode.
Abstract translation: 自动开发用于设备的产品功能和故障模式文档的本体的方法。 识别设备。 生成用于识别装置的复合结构的识别装置的功能流模型。 列举了与识别的设备相关联的功能和故障模式。 从多个异构数据源获得故障数据。 通过比较数据源之间的多个文档，将语义相似性模块应用于枚举的故障。 语义相似性模块桥接异构数据中使用的各种术语来描述相应的故障。 在异构数据源之间从多个文档中提取与枚举装置功能相关联的故障。 针对每个识别的故障模式生成相关术语的复合物。 使用每个识别的故障模式的相关术语的复合来生成故障模式信息文档。
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公开(公告)号：US10678834B2
公开(公告)日：2020-06-09
申请号：US15422540
申请日：2017-02-02
Applicant: GM Global Technology Operations LLC
Inventor： Joseph A. Donndelinger , Susan H. Owen , Dnyanesh G. Rajpathak
Abstract: A system, for filtering and fusing multi-source ontologies. The system includes a tangible processing controller unit and non-transitory computer-readable storage device in communication with the tangible processing controller unit. The storage device includes a first receiving unit that, when executed by the tangible processing control unit, receives a plurality of ontologies, each ontology having a set of rules and a class structure with a plurality of data classes. The storage device also includes a second receiving unit that, when executed, receives data. The device also includes a comparison unit that compares the data classes from the plurality of ontologies, and a merging unit that merges the data classes that are identical or consistent into a new data class. The storage device also includes a discarding unit that discards the data classes that are inconsistent. The storage device also includes a new-set-generation unit that generates a new set of class structure.
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3.发明申请公开(公告)号：US20190130028A1
公开(公告)日：2019-05-02
申请号：US15794670
申请日：2017-10-26
Applicant: GM Global Technology Operations LLC
Inventor： Dnyanesh G. Rajpathak , Susan H. Owen , Joseph A. Donndelinger , John A. Cafeo , Martin Case , Carolyn Nguyen , Charles M. Chandler
Abstract: A system having an annotation module that annotates, using a master ontology, unstructured verbatim regarding a product and related issue, and a customer-observable (CO) construction module determining associations amongst terminology in the annotated output, yielding a group of CO pairs. A CO merging module merges at least one first CO pair into a second CO pair based on similarities. A pointwise mutual-information module determines which CO pairs of the group of merged CO pairs are relatively more-severe or more-relevant, yielding a group of critical CO pairs. An output module initiates activity to implement the results, such as by automated repair of the product or change to product design or manufacturing process. The system in some embodiments identifies, using a subject-matter-expert (SME) database, features of false-positive associations, and in machine-learning implements the features to improve CO formation going forward.
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4.发明申请公开(公告)号：US20180218071A1
公开(公告)日：2018-08-02
申请号：US15422540
申请日：2017-02-02
Applicant: GM Global Technology Operations LLC
Inventor： Joseph A. Donndelinger , Susan H. Owen , Dnyanesh G. Rajpathak
CPC classification number: G06F16/367 , G06N5/022 , G06N7/005 , G06N20/00
Abstract: A system, for filtering and fusing multi-source ontologies. The system includes a tangible processing controller unit and non-transitory computer-readable storage device in communication with the tangible processing controller unit. The storage device includes a first receiving unit that, when executed by the tangible processing control unit, receives a plurality of ontologies, each ontology having a set of rules and a class structure with a plurality of data classes. The storage device also includes a second receiving unit that, when executed, receives data. The device also includes a comparison unit that compares the data classes from the plurality of ontologies, and a merging unit that merges the data classes that are identical or consistent into a new data class. The storage device also includes a discarding unit that discards the data classes that are inconsistent. The storage device also includes a new-set-generation unit that generates a new set of class structure.
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