公开(公告)号：US09945825B2

公开(公告)日：2018-04-17

申请号：US14527562

申请日：2014-10-29

申请人： The Boeing Company

发明人： Sidney Ly ,  Ali Salour

IPC分类号： G01N15/00 ,  G01N33/00 ,  G01N15/06 ,  G01N1/26 ,  G01N15/14 ,  G01N35/00 ,  G06F11/00 ,  G01N1/22

CPC分类号： G01N33/0004 ,  G01N1/26 ,  G01N15/06 ,  G01N15/1425 ,  G01N35/00871 ,  G01N2001/2223 ,  G01N2015/0693 ,  G01N2015/1486 ,  G01N2015/1488 ,  G01N2015/1493 ,  G01N2035/00881 ,  G01N2035/009 ,  G06F11/00

摘要： Predictive analysis of complex datasets and systems and methods including the same are disclosed herein. The methods include analyzing airborne particle count data from a cleanroom environment to predict a particle count fault condition within the cleanroom environment. The methods further include generating an airborne particle count data repository that includes particle counts within the cleanroom environment, analyzing the airborne particle count data to calculate a difference between a first rate of change and a second rate of change, and predicting the particle count fault condition responsive to the difference between the first rate of change and the second rate of change being outside a predetermined threshold range difference. The systems include computer readable storage media including computer-executable instructions that, when executed, direct a data analysis system to perform the methods. The systems also include a distributed cleanroom particle count monitoring system including a plurality of detection nodes.

公开(公告)号：US09489341B1

公开(公告)日：2016-11-08

申请号：US13865201

申请日：2013-04-18

申请人： The Boeing Company

发明人： Sidney Ly ,  Michael A. Bodach

IPC分类号： G01L11/02 ,  G06F17/00

CPC分类号： G05B23/0227

摘要： A prediction of an impending failure in a climate control system is based on degradation of a second harmonic in a temperature history of the system.

摘要翻译： 对气候控制系统即将发生故障的预测是基于系统温度历史中二次谐波的退化。

公开(公告)号：US20160123938A1

公开(公告)日：2016-05-05

申请号：US14527562

申请日：2014-10-29

申请人： The Boeing Company

发明人： Sidney Ly ,  Ali Salour

IPC分类号： G01N33/00 ,  G01N15/06

CPC分类号： G01N33/0004 ,  G01N1/26 ,  G01N15/06 ,  G01N15/1425 ,  G01N35/00871 ,  G01N2001/2223 ,  G01N2015/0693 ,  G01N2015/1486 ,  G01N2015/1488 ,  G01N2015/1493 ,  G01N2035/00881 ,  G01N2035/009 ,  G06F11/00

摘要： Predictive analysis of complex datasets and systems and methods including the same are disclosed herein. The methods include analyzing airborne particle count data from a cleanroom environment to predict a particle count fault condition within the cleanroom environment. The methods further include generating an airborne particle count data repository that includes particle counts within the cleanroom environment, analyzing the airborne particle count data to calculate a difference between a first rate of change and a second rate of change, and predicting the particle count fault condition responsive to the difference between the first rate of change and the second rate of change being outside a predetermined threshold range difference. The systems include computer readable storage media including computer-executable instructions that, when executed, direct a data analysis system to perform the methods. The systems also include a distributed cleanroom particle count monitoring system including a plurality of detection nodes.

摘要翻译： 复杂数据集和系统的预测分析及包括其的方法在此公开。 这些方法包括分析洁净室环境中的空气中颗粒计数数据，以预测洁净室环境中的颗粒数量故障状况。 所述方法还包括生成包括洁净室环境中的颗粒计数的空中粒子数据数据储存库，分析空中粒子计数数据以计算第一变化率与第二变化率之间的差异，以及预测颗粒计数故障条件 响应于第一变化率与第二变化率之间的差异超出预定阈值范围差。 这些系统包括计算机可读存储介质，包括计算机可执行指令，当被执行时，指示数据分析系统执行方法。 该系统还包括分布式洁净室粒子计数监测系统，其包括多个检测节点。