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Discovery of Precursors to Adverse Events using Time Series Data
A Publication, Discovering Precursors to Adverse Events in Time Series - 8 years, 8 months ago
Shared By: Vijay Manikandan Janakiraman
We develop an algorithm for automatic discovery of precursors in time series data (ADOPT). In a time series setting, a precursor may be considered as ...
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A Publication, Bryan Matthews's Collection - 8 years, 11 months ago
Shared By: Bryan Matthews
The National Airspace (NAS) is constantly changing and adapting to new and complex challenges, and as a result Next Generation Air Transportation System (NextGen) will ...
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Automated Discovery of Flight Track Anomalies
A Publication, Bryan Matthews's Collection - 9 years, 10 months ago
Shared By: Bryan Matthews
As new technologies are developed to handle the complexities of the Next Generation Air Transportation System (NextGen), it is increasingly important to address both current ...
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Discovery of Abnormal Flight Patterns in Flight Track Data
A Publication, Bryan Matthews's Collection - 10 years, 6 months ago
Shared By: Bryan Matthews
The National Airspace System (NAS) is an ever changing and complex engineering system. As the Next Generation Air Transportation System (NextGen) is developed, there will ...
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Discovering Anomalous Aviation Safety Events Using Scalable Data Mining Algorithms
A Publication, Bryan Matthews's Collection - 10 years, 6 months ago
Shared By: Bryan Matthews
The worldwide civilian aviation system is one of the most complex dynamical systems created. Most modern commercial aircraft have onboard flight data recorders that record ...
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Detecting Anomalies in Multivariate Data Sets with Switching Sequences and Continuous Streams
A Publication, Nikunj Oza's Collection - 13 years ago
Shared By: Nikunj Oza
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Space Shuttle Main Propulsion System Anomaly Detection: A Case Study
A Publication, Ashok Srivastava's Collection - 11 years, 2 months ago
Shared By: Ashok Srivastava
The space shuttle main engine (SSME) is part of the Main Propnlsion System (MPS) which is an extremely complex system containing several sub-systems and components, ...
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Algorithms for Speeding up Distance-Based Outlier Detection
A Publication, Scalable Outlier Detection on Very Large Datasets - 13 years, 6 months ago
Shared By: Kanishka Bhaduri
The problem of distance-based outlier detection is difficult to solve efficiently in very large datasets because of potential quadratic time complexity. We address this problem ...
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Fleet Level Anomaly Detection of Aviation Safety Data
A Publication, Multiple Kernel Learning based Heterogeneous Algorithm (MKAD) - 8 years, 8 months ago
Shared By: Santanu Das
For the purposes of this paper, the National Airspace System (NAS) encompasses the operations of all aircraft which are subject to air traffic control procedures. ...
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Propulsion Health Monitoring of a Turbine Engine Disk using Spin Test Data
A Publication, Disk Defect Data - 11 years, 11 months ago
Shared By: Nikunj Oza
On line detection techniques to monitor the health of rotating engine components are becoming increasingly attractive options to aircraft engine companies in order to increase ...