Scalable Human-in-the-Loop Decision Support

被引：0

作者：

Georgescu, Ramona ^{[1
]}

Reddy, Kishore ^{[1
]}

Trcka, Nikola ^{[1
]}

Chen, Mei ^{[1
]}

Quimby, Paul ^{[1
]}

O'Neill, Paul ^{[1
]}

Khawaja, Taimoor ^{[1
]}

Bertuccelli, Luca ^{[1
]}

Hestand, Dan ^{[1
]}

Sarkar, Soumik ^{[1
]}

Erdinc, Ozgur ^{[1
]}

Giering, Michael ^{[1
]}

机构：

[1] United Technol Res Ctr, E Hartford, CT 06108 USA

来源：

2015 IEEE AEROSPACE CONFERENCE | 2015年

关键词：

D O I：

暂无

中图分类号：

V [航空、航天];

学科分类号：

08 ; 0825 ;

摘要：

A scalable human-in-the-loop decision support system has been built around an active learning algorithm operating on aircraft engine time series data. The system integrates hierarchical clustering and active learning algorithms backed by a big data analytics ecosystem with a browser-based user interface. This combination enables multiple expert users to efficiently train a model to classify aircraft engine behavior by prioritizing the segments of flight for human analysis. This system lowers the time required from human experts by eliminating unnecessary labelling effort and supporting the aircraft maintenance industry's service technicians.

引用

页数：6

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