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Integrated Diagnostic/Prognostic Experimental Setup for Capacitor...
This paper proposes the experiments and setups for studying diagnosis and prognosis of electrolytic capacitors in DC-DC power converters. Electrolytic capacitors and power... -
Health-Management Driven Control Reconfiguration Approach for Flight Vehicles
A prognostic system makes it possible to anticipate loss of functionality before it occurs with sufficient lead time to take actions that mitigate the impact of this loss. We... -
Comparison of Algorithms for Anomaly Detection in Flight Recorder Data of...
Published at 12th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference and 14th AIAA/ISSM 17 - 19 September 2012, Indianapolis, Indiana -
Using Markov Models of Fault Growth Physics and Environmental Stresses to...
A contrived example of a dice throwing game was considered in order to provide some insight into the general problem developing prognostics-based control routines that utilize... -
A Framework for Systematic Benchmarking of Monitoring and Diagnostic Systems
In this paper, we present an architecture and a formal framework to be used for systematic benchmarking of monitoring and diagnostic systems and for producing comparable... -
Learning to Improve Earth Observation Flight Planning
This paper describes a method and system for integrating machine learning with planning and data visualization for the management of mobile sensors for Earth science... -
Autonomous Decision Making for Planetary Rovers Using Diagnostic and...
Rover missions typically involve visiting a set of predetermined waypoints to perform science functions, such as sample collection. Given the communication delay between Earth... -
AADL Models of Network Protocols
AADL and Error Annex models of SAFEbus, SPIDER, TTP and BRAIN -
A Recursive Receding Horizon Planning for Unmanned Vehicles
This paper proposes a recursive receding horizon path planning algorithm for unmanned vehicles in nonuniform environments. In the proposed algorithm, the map is described by... -
A Mobile Robot Testbed for Prognostics-Enabled Autonomous Decision Making
The ability to utilize prognostic system health information in operational decision making, especially when fused with information about future operational, environmental, and... -
Distributed Prognostic Health Management with Gaussian Process Regression
Distributed prognostics architecture design is an enabling step for efficient implementation of health management systems. A major challenge encountered in such design is... -
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... -
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... -
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-... -
AePW publications
This will contain publications used by the AePW -
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,...