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Successful Completion of ARRA “Health Management Technologies Research & Development” Task

Researchers in the Diagnostics & Prognostics Group and Intelligent Data Understanding Group in the Discovery and Systems Health (DaSH) area successfully completed the American Reinvestment and Recovery Act (ARRA) task “Health Management Technologies Research & Development” in February 2011. The focus of this task was the development of datasets, algorithms, models, and techniques for health management of systems in the aeronautics domain in order to improve the intrinsic safety attributes of current and future aircraft and of aviation operations. Specifically, three areas of research were pursued: anomaly detection, component diagnostics and prognostics, and systems analysis.

The research was very successful and productive; more than 30 technical publications were generated over the course of this 12-month task. Publications detail advancements in data mining techniques such as distributed anomaly detection algorithms which run an order of magnitude faster than centralized approaches; multivariate time series search capability that finds matches to specified relationships among multiple variables in large data sets; and highly scalable regression algorithms which can operate on terabytes of data. Activities and publications in the diagnostics and prognostics area discuss flight tests of diagnostic algorithms flown onboard C-17, UH-60, and UAV platforms; advances in Bayesian model-based diagnostic software; generation and dissemination of prognostic data sets from electrochemical storage devices, power semiconductors, capacitors, and a turbofan engine simulation; and foundational development of prognostic algorithms, metrics for assessing predictions, and methods to represent and manage uncertainty. Systems analysis work mapped causal factors in aircraft incident and accident data to health management technologies which could mitigate those factors; reviewed methods to establish specifications and requirements for prognostics; identified gaps and research objectives for design of health management systems; and outlined new health management research areas.

BACKGROUND: The Aviation Safety Program in the Aeronautics Research Mission Directorate is developing tools, technologies, and techniques that automatically detect, diagnose, and predict adverse events such as component failures during flight. In addition to directly causing incidents and accidents, system/component malfunctions and failures are recognized as contributing factors to aircraft loss of control in flight, which is the top cause of aircraft accidents. With the projected increase in volume and complexity of airspace operations in the Next Generation Air Transportation Management System (NextGen), advances in health management technologies are critical to ensuring safe air travel. This task supported NASA Recovery Act work sponsored by the Aeronautics Research Mission Directorate and the Aviation Safety Program.

NASA PROGRAM FUNDING: ARMD, Aviation Safety Program

TEAM MEMBERS: Kanishka Bhaduri, Jose Celaya, Kamalika Das, David Garcia, Tolga Kurtoglu, Bryan Matthews, Ole Mengshoel, Greg Pisanich, Bhaskar Saha, Sankalita Saha, Abhinav Saxena

Contact: Scott Poll

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