公开(公告)号：US20170083011A1

公开(公告)日：2017-03-23

申请号：US14859896

申请日：2015-09-21

申请人： Raytheon Company

发明人： David Hughes

IPC分类号： G05B19/418

CPC分类号： G05B19/41875 ,  G05B2219/31477 ,  G05B2219/32368 ,  Y02P90/14 ,  Y02P90/22 ,  Y02P90/26

摘要： A system and method can identify manufactured parts. A user can select a particular manufactured part, which can be out-of-specification. The system can retrieve test data for the selected part and for other manufactured parts. The system can normalize the retrieved test data against historical means and historical standard deviations to form normalized test data. The system can correlate the normalized test data for the selected part against normalized test data for each of the other manufactured parts to form correlation values. The system can display the correlation values with identifiers corresponding to the manufactured parts. Each correlation value can represent a degree of similarity between the selected part and a respective manufactured part. The manufactured parts with the highest correlation values can have the same failure mechanism as the selected part, which can help diagnose why the selected part can be out-of-specification.

公开(公告)号：US10338574B2

公开(公告)日：2019-07-02

申请号：US14859896

申请日：2015-09-21

申请人： Raytheon Company

发明人： David Hughes

IPC分类号： G05B19/41 ,  G05B19/42 ,  G05B19/418

摘要： A system and method can identify manufactured parts. A user can select a particular manufactured part, which can be out-of-specification. The system can retrieve test data for the selected part and for other manufactured parts. The system can normalize the retrieved test data against historical means and historical standard deviations to form normalized test data. The system can correlate the normalized test data for the selected part against normalized test data for each of the other manufactured parts to form correlation values. The system can display the correlation values with identifiers corresponding to the manufactured parts. Each correlation value can represent a degree of similarity between the selected part and a respective manufactured part. The manufactured parts with the highest correlation values can have the same failure mechanism as the selected part, which can help diagnose why the selected part can be out-of-specification.