公开(公告)号：US20070078585A1

公开(公告)日：2007-04-05

申请号：US11240995

申请日：2005-09-30

申请人： Bruce Pomeroy ,  James Aragones ,  Deniz Doganaksoy

发明人： Bruce Pomeroy ,  James Aragones ,  Deniz Doganaksoy

IPC分类号： G01C23/00 ,  G06F19/00

CPC分类号： G01C23/00 ,  Y10T477/40

摘要： A method for monitoring engine performance includes sampling exhaust gas temperature associated with a turbine engine over an interval of operational time of the turbine engine. The method further includes applying a first test to identify statistical outliers on the sampled exhaust gas temperature data and removing identified statistical outliers from the sampled exhaust gas temperature data. Subsequently, the method includes applying a second test to identify step changes in slope of the exhaust gas temperature data and dividing the interval of operational time into one or more segments based upon the identified step changes. Finally, the method includes determining a slope for each segment and combining the segments to obtain a rate of performance deterioration of the turbine engine.

公开(公告)号：US20060059063A1

公开(公告)日：2006-03-16

申请号：US11028685

申请日：2005-01-05

申请人： Christina LaComb ,  Bethany Hoogs ,  Jason Miele ,  Deniz Doganaksoy ,  Radu Neagu ,  Corey Bufi ,  Abha Moitra ,  Andrew Deitsch ,  Richard Arthur

发明人： Christina LaComb ,  Bethany Hoogs ,  Jason Miele ,  Deniz Doganaksoy ,  Radu Neagu ,  Corey Bufi ,  Abha Moitra ,  Andrew Deitsch ,  Richard Arthur

IPC分类号： G06Q40/00

CPC分类号： G06Q30/02 ,  G06Q40/00

摘要： A visualization technique for directing the attention of analysts to anomalous values of performance measures associated with a target entity is described. A grid of cells is created where each row represents a particular performance metric, and each column a particular time period. For each cell, an anomaly score is calculated associated with the performance metric and time period corresponding to the row and column of the cell. The anomaly score is based on the value of the performance metric for that particular entity for that time period, as well as context data. The context data is selected to represent the historical values of the performance metric for the target entity or the simultaneous performance of peer entities. The anomaly score is calculated using an exceptional statistical technique, and a display characteristic is associated with the value of the anomaly score based upon the range into which the anomaly score falls. The display characteristic is displayed within the cell on the grid, forming an anomaly map that allows identification of patterns among the performance metrics.

摘要翻译： 描述了一种用于将分析者的关注引导到与目标实体相关联的性能测量的异常值的可视化技术。 创建单元格网格，其中每行表示特定的性能指标，每列表示特定的时间段。 对于每个单元，计算与对应于单元格的行和列的性能度量和时间段相关联的异常分数。 异常分数基于该时间段内该特定实体的绩效指标值以及上下文数据。 选择上下文数据以表示目标实体的性能度量的历史值或对等实体的同时执行。 使用异常统计技术计算异常得分，并且显示特征与异常评分落入异常得分的范围相关联。 显示特性显示在网格上的单元格内，形成允许在性能度量中识别图案的异常图。