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Detecting Anomalies in Multivariate Data Sets with Switching Sequences and...
The world-wide aviation system is one of the most complex dynamical systems ever developed and is generating data at an extremely rapid rate. Most modern commercial aircraft... -
animations
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Characterizing Variability and Multi-Resolution Predictions
In previous papers, we introduced the idea of a Virtual Sensor, which is a mathematical model trained to learn the potentially nonlinear relationships between spectra for a... -
Inverse Modeling Using a Wireless Sensor Network (WSN) for Personalized...
Smart lighting systems in low energy commercial buildings can be expensive to implement and commission. Studies have also shown that only 50% of these systems are used after... -
A COMPARATIVE STUDY OF ALGORITHMS FOR LAND COVER CHANGE
A COMPARATIVE STUDY OF ALGORITHMS FOR LAND COVER CHANGE SHYAM BORIAH, VARUN MITHAL, ASHISH GARG, VIPIN KUMAR, MICHAEL STEINBACH, CHRIS POTTER, AND STEVE KLOOSTER** Abstract.... -
Estimation of Faults in DC Electrical Power System
This paper demonstrates a novel optimizationbased approach to estimating fault states in a DC power system. The model includes faults changing the circuit topology along with... -
Planning to Explore: Using a Coordinated Multisource Infrastructure to...
Few human endeavors present as much of a planning and scheduling challenge as space flight, particularly manned space flight. Just on the operational side of it, efforts of... -
A DISTRIBUTED PROGNOSTIC HEALTH MANAGEMENT ARCHITECTURE
This paper introduces a generic distributed prognostic health management (PHM) architecture with specific application to the electrical power systems domain. Current state-of-... -
Anomaly Detection for Complex Systems
In performance maintenance in large, complex systems, sensor information from sub-components tends to be readily available, and can be used to make predictions about the... -
AePW publications
This will contain publications used by the AePW -
2010_09_10_jam_-40 Lab
Jam fault scenarios with tensile (-40 lbs) load (diagnostic and prognostic). -
UNDERSTANDING SEVERE WEATHER PROCESSES THROUGH SPATIOTEMPORAL RELATIONAL...
UNDERSTANDING SEVERE WEATHER PROCESSES THROUGH SPATIOTEMPORAL RELATIONAL RANDOM FORESTS AMY MCGOVERN, TIMOTHY SUPINIE, DAVID JOHN GAGNE II, NATHANIEL TROUTMAN, MATTHEW COLLIER,... -
Novel Methods for Predicting Photometric Redshifts
We calculate photometric redshifts from the Sloan Digital Sky Survey Main Galaxy Sample, The Galaxy Evolution Explorer All Sky Survey, and The Two Micron All Sky Survey using... -
Recurring Anomaly Detection System (ReADS)
Overview: ReADS can analyze text reports, such as aviation reports and problem or maintenance records. ReADS uses text clustering algorithms to group loosely related reports and... -
Application of Model Based Prognostics to Pneumatic Valves in a Cryogenic...
Pneumatic-actuated valves are critical components in many applications, including cryogenic propellant loading for space operations. For these components, failures need to be... -
Distributed Identification of Top-l Inner Product Elements and its...
Inner product computation is an important primitive used in many techniques for feature dependency detection, distance computation, clustering and correlation computation among... -
Entropy-based Probabilistic Fatigue Damage Prognosis and Algorithmic...
In this paper, a maximum entropy-based general framework for probabilistic fatigue damage prognosis is investigated. The proposed methodology is based on an underlying physics-... -
stableGP
The code in the stableGP package implements Gaussian process calculations using efficient and numerically stable algorithms. Description of the algorithms is in the paper... -
images_RSW
Images for RSW configuration. -
DXC'09 Synthetic Track Competition Data
Synthetic Track Competition Data