Douglas Brown – ICSL

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76748 1707859660929 1371192063 1753969 1568377 n.jpgAbout | Research | Publications

Awards |

Acknowledgements

Office:
Room 227
Intelligent Control Systems laboratory (ICSL)
Manufacturing Research Center (MaRC)
Georgia Institute of Technology (GaTech)
813 Ferst Drive, N.W.
Atlanta, Georgia 30332-0560 U.S.A.

Telephone: +1(404) 894-4130
Fax: +1(404) 894-4130

AnimatedAmericanFlag.gif About

Douglas earned the Bachelor of Electrical Engineering degree from the Rochester Institute of Technology in 2006 and the Master of Electrical Engineering degree from the Georgia Institute of Technology in 2008. He joined ICSL in the spring of 2007 and is currently a Ph.D. candidate in Electrical Engineering at the Georgia Institute of Technology. His current area of research focuses on prognostic based reconfigurable control for fault-tolerant systems.

AnimatedAmericanFlag.gif Proposed Research

Topic: “A Prognostic Health Management (PHM)-based framework for adaptive fault-tolerant control in avionics and related systems

Motivation: Next generation military combat vehicles and aviation platforms are designed to meet new mission readiness and availability targets, ensure highly reliable performance, reduce maintenance/support costs, and improve longevity. However, recent efforts to increase availability and minimize production costs led to the wide-spread use of commercial off-the-shelf (COTS) components in military applications resulting in reduced system reliability and increased maintenance costs. A PHM based fault-tolerant control architecture can offset these tradeoffs by detecting and accommodating for impending failures to minimize the occurrence of unexpected, costly and possible life-threatening mission failures; reduce unnecessary maintenance actions; and extend system usability.

Work Scope: The proposed framework will be designed using a multi-layer open control platform (OCP) consisting of three layers: supervisory, intermediate, and low-level. The supervisory layer will manage high-level objectives, perform diagnosis and estimate remaining useful life (RUL). The intermediate layer will contain a reconfigurable control to determine optimal set points to ensure system stability and proper mode-transitioning. The low-level layer will apply set points to the local controllers. Verification and validation (V&V) of the system will ensure operations within design constraints and fault-modes are diagnosed correctly.

Implementation of the proposed fault-tolerant control architecture requires data acquisition, feature extraction, fault detection and isolation, failure prognosis, adaptive control and V&V. Features will be extracted from time, frequency/spectral, and wavelet analysis. Bayesian reasoning, fuzzy logic, particle filtering and neural network techniques will detect and identify fault modes. Failure prognosis will be performed using particle filtering to estimate RUL. Anticipated failures will be mitigated by applying a time-varying multi-objective criterion function and appropriate constraints to determine optimal reconfiguration.

Related Applications: The proposed framework will directly apply to commercial power systems, hybrid-electric vehicles and future generation aviation platforms. This work is currently being applied to flight actuators and Navy power drive systems with support from the Air Force Research Laboratory (AFRL) and Office of Naval Research (ONR) respectively.

AnimatedAmericanFlag.gif Publications

Book Chapters
Eagle.jpg Brown, D., Georgoulas, G., Bae, H., Chen, R., Ho, Y. H., Tannenbaum, G., Schroeder, J. B. and Vachtsevanos, G., “Particle Filter Based Anomaly Detection for Aircraft Actuator Systems,” International Series on Microprocessor-Based and Intelligent Systems Engineering, vol. 39, no. 1, pp. 65-88, June 2009.

Journal Articles
Eagle.jpg Brown, D., Kalgren, P., Roemer, M., “Electronic Prognostics – A Case Study Using Switched-Mode Power Supplies (SMPS),” IEEE Instrumentations & Measurement, vol. 10, no. 4, pp. 20-26, August 2007.
Eagle.jpg Brown, D., Kalgren, P., Byington, C., Roemer, M., “Electronic prognostics – A case study using global positioning system (GPS),” Microelectronics Reliability, vol. 47, no. 12, pp. 1874-1881, December 2007.
Eagle.jpg Ginart, A., Brown, D., Kalgren, P., Roemer, M., “On-line Ringing Characterization as PHM Technique for Power Drive and Electrical Machinery,” in press, to be published in IEEE Transactions on Instrumentation & Measurement, 2009.
Eagle.jpg Ginart, A., Brown, D., Kalgren, P., Roemer, M., “Inverter Power Drive Transistor Diagnostic and Extended Operation under One-Transistor Trigger Suppression,” in press, to be published in IEEE Transactions on Power Electronics, 2009.

Conference Papers
Eagle.jpg Orsagh, R., Brown, D., “Diagnostics & Prognostics for Switching Mode Power Supply Remaining Useful Life Assessment,” IEEE Aerospace Conference, March 5-12, 2005.
Eagle.jpg Brown, D., Kalgren, P., Byington, C., Orsagh, R., “Electronic Prognostics – A Case Study Using Global Positioning System (GPS),” AUTOTESTCON 2005, September 26-29, 2005. (Best Paper Award)
Eagle.jpg Orsagh, R., Brown, D., Roemer, M. Dabnev, T. Hess, A., “Prognostic Health Management for Avionic Systems,” IEEE Aerospace Conference, March 11-14, 2006.
Eagle.jpg Brown, D., Kalgren, P., Roemer, M., “Electronic Prognostics – A Case Study Switching Mode Power Supplies (SMPS),” AUTOTESTCON 2006, September 18-21, 2006.
Eagle.jpg Ginart, A., Brown, D., Kalgren, P., Roemer, M., “On-line Ringing Characterization as PHM Technique for Power Drive and Electrical Machinery,” AUTOTESTCON 2007, September 17-20, 2007.
Eagle.jpg Ginart, A., Brown, D., Kalgren, P., Roemer, M., “Inverter power drive transistor diagnostic and extended operation under one-transistor trigger suppression,” Twenty-Third Annual IEEE Conference and Exposition of Applied Power Electronics, February 24-28, 2008.
Eagle.jpg Zhang, B., Georgoulas, G., Orchard, M., Saxena, A., Brown, D., Vachtsevanos, G., Liang, S., “Rolling Element Bearing Feature Extraction and Anomaly Detection Based on Vibration Monitoring,” 16th Mediterranean Conference on Control and Automation, June 25-27, 2008.
Eagle.jpg Orchard, M., Brown, D., Zhang, B., Georgoulas, G., Vachtsevanos, G., “Anomaly Detection: A Particle Filtering Framework with an Application to Aircraft Systems,” Integrated Systems Health Management (ISHM) Conference, August 11-14, 2008.
Eagle.jpg Brown, D., Edwards, D., Georgoulas, G., Zhang, B. and Vachtsevanos, G.,”Real-Time Fault Detection and Accommodation for COTS Resolver Position Sensors,” 1st International Conference on Prognostics and Health Management (PHM), Oct. 6-9, 2008.
Eagle.jpg Brown, D., Georgoulas, G., Bae, H., Chen, R., Ho, Y. H., Tannenbaum, G., Schroeder, J. B. and Vachtsevanos, G., “Particle Filter Based Anomaly Detection for Aircraft Actuator Systems,” IEEE Aerospace Conference, March 7-14, 2009.
Eagle.jpg Chen, R. H., Ho, Y. H. B., Cayot, M., Vachtsevanos, G., Brown, D., Tannenbaum, G. & Schroeder, J. B., “Integrated Flight Control and Actuator Health Management,” Integrated Systems Health Management Conference, August 10-13, 2009.
Eagle.jpg Brown, D., Georgoulas, G., Bole, B.; Pei, H.-L., Orchard, M., Tang, L., Saha, B., Saxena, A., Goebel, K. & Vachtsevanos, G., “Prognostics Enhanced Reconfigurable Control of Electro-Mechanical Actuators,” 2nd International Conference on Prognostics and Health Management (PHM), September 27 – October 1, 2009.
Eagle.jpg Chen, C., Brown, D., Sconyers, C., Vachtsevanos, G., Zhang, B., and Orchard, M., “A .NET Framework for an Integrated Fault Diagnosis and Failure Prognosis Architecture,” IEEE AUTOTESTCON 2010, Orlando, FL, USA, September 13-16, 2010.
Eagle.jpg Ginart, A., Ali, I., Brown, D., Hargrave, M., Kalgren, P., and Roemer, M., “Power Electronics Health Monitoring Test Platform for Assessment of Modern Power Drives and Electric Machines with Regeneration Capabilities” IEEE AUTOTESTCON 2010, Orlando, FL, USA, September 13-16, 2010.
Eagle.jpg Bole, B., Brown, D., Vachtsevanos, G., “Automated Contengency Management (ACM) for Overactuated Systems,” MFPT 2010, pg 277-288, 2010.
Eagle.jpg Brown, D., Abbas, M., Ginart, A., Ali, I., Kalgren, P., and Vachtsevanos, G., “Turn-off time as a precursor for gate bipolar transistor latch-up faults in electric motor drives,“ in Annual Conference of the Prognostics and Health Management Society, Portland, OR, 2010.
Eagle.jpg Bole, B., Brown, D., D., Pei, H., Goebel, K., Tang, L., and Vachtsevanos, G. “Fault Adaptive Control of Overactuated Systems Using Prognostic Estimation,” in Annual Conference of the Prognostics and Health Management Society, Portland, OR, 2010.

AnimatedAmericanFlag.gif Awards and Honors

Eagle.jpg National Defense Science & Engineering Graduate [NDSEG] Fellow (External Link)

Baseball2 gif.JPGSponsoring Agency: Air Force Office of Scientific Research [AFOSR]

[04/2008]
Eagle.jpg Georgia Institute of Technology Graduate Research Assistant (GRA) Fellowship
[01/2007]
Eagle.jpg Schlumberger Fellowship
[01/2007]
Eagle.jpg Best Paper For Innovation with Military Application, IEEE AUTOTESTCON 2005

Baseball2 gif.JPGPresented on behalf of the U.S. Department of Defense [DoD] (External Link)

[09/2005]
Eagle.jpg RIT Undergraduate Scholar Award
[05/2005]
Eagle.jpg Clarence R. Weaver Engineering Scholarship
[05/2001]
Eagle.jpg Daughters of American Revolution Good Citizens Award
[05/2001]

AnimatedAmericanFlag.gif Acknowledgements

List of government agencies, universities and private companies whose support made this research possible,

AFRL logo.png Air Force Research Laboratory (AFRL)


Scientific research organization operated by the United States Air Force dedicated to leading the discovery, development, and integration of warfighting technologies for our air, space and cyberspace forces.

ONR logo.png Office of Naval Research (ONR)


Office within the United States Department of the Navy advancing scientific knowledge to support the generation of naval technology with a vision focused on future capabilities, hedging against the uncertainty of warfare.

NASA logo.png National Aeronautics and Space Administration (NASA)


Agency of the United State government dedicated to pioneering the future in space exploration, scientific discovery, and aeronautics research.

IMPACT logo.png Impact Technologies


High-tech engineering consulting and health management system development firm that is dedicated to supplying advanced machinery diagnostic and prognostic solutions and software tools in the aircraft, land-based equipment, power, and defense industries.

NGC logo.png Northrop Grumman Corporation (NGC)

Global defense and technology company whose 120,000 employees provide innovative systems, products, and solutions in information and services, electronics, aerospace and shipbuilding to government and commercial customers worldwide.

MOOG logo.png Moog Inc.


Worldwide designer, manufacturer, and integrator of precision control components and systems; Moog’s high-performance systems control military and commercial aircraft, satellites and space vehicles, launch vehicles, missiles, automated industrial machinery, marine applications, and medical equipment.

GTECE logo.png Georgia Tech Department of Electrical and Computer Engineering (ECE)


Deparment in the college of engineering at the Georgia Institute of Technology (Georgia Tech) aimed at innovative research, educational, and commercialization activities.