Abhinav Saxena – ICSL – Intelligent Control Systems Laboratory

Office:
T35B/113,
Prognostics Center of Excellence(PCoE)
NASA Ames Research Center (NARC)
Moffett Field, CA 94035

Telephone: +1(650) 604-3208
Fax: +1(650) 604-4036
email: Abhinav
visit Abhinav @NASA

About

I graduated with PhD degree in Electrical and Computer Engineering from GeorgiaTech. I focused on an integrated architecture for Intelligent Diagnosis and Prognosis of Manufacturing Systems using Artificial Intelligence techniques. I am currently working as research scientist at Prognostic Center of Excellence at NASA Ames Research Center, CA.

I joined Georgia Tech in 2001 at the school of Textile and Fiber Engineering, and earned Master of Science Degree in May 2003. I worked on yarn manufacturing machine development and real-time process control. Prior to that I received bachelor’s degree from the Indian Institute of Technology, Delhi in Textile and Fiber Engineering in 2001. As a part of students exchange program I also visited the University of British Columbia, Vancouver in 1999.

Research

My Research Interests lie in the application based control of Manufacturing Systems. I have been working on Intelligent Control Systems using several machine learning techniques. Overall emphasis is on diagnostics and prognostics of industrial systems. Area of my core research is to combine areas from AI which makes use of the human memory models to solve problems that may or may not have been encountered before. specifically my research involved Natural Language Processing (NLP), dynamic Case-based Reasoning (DCBR), and evolving knowledgebases to develop a Decision Support System integrated with Human-in-the-Loop (HITL) feedback for learning and evolution. More details about the problem and the approach can be found in my PhD thesis below. In addition to knowledge based approach I also work in machine learning and data mining related to CBM/PHM problems.

Publications

PhD Thesis
A. Saxena, “ Knowledge-Based Architecture for Integrated Condition Based Maintenance of Engineering Systems” submitted July 2007.		(PPT)

Journal Articles
B. Wu, A. Saxena, R. Patrick, and G. Vachtsevanos, “Vibration Monitoring for Fault Diagnosis of Planetary Gears” submitted to IEEE transactions on Automation Science and Engineering
A. Saxena, A. Saad, “ Evolving an Artificial Neural Network Classifier for Condition Monitoring of Rotating Mechanical Systems“, Applied Soft Computing, Volume 7, Issue 1, January 2007, Pages 441-454 (made into top 25 articles in Jan-March issue)

Book Chapters
L.G. Barajas, A. Kansal, A. Saxena, M. Egerstedt, A Goldstein, and E.W. Kamen, “ Modeling and Control of SMT Manufacturing Lines Using Hybrid Dynamic Systems“, Hybrid Systems: Computation and Control, Springer-Verlag, Prague, The Czech Republic, April 2003

Magazine Articles
A. Saxena, B. Wu, G. Vachtsevanos, “ A Hybrid Reasoning Architecture for Fleet Vehicle Maintenance“, IEEE Instrumentation and Measurement Magazine, vol. 9, No. 4, August 2006

Conference Papers
A. Saxena, M. Orchard, L. Tang, B. Zhang, G. Vachtsevanos, Y.J. Lee, and Y. Wardi, “ Automated Contingency Management System“, European Control Conference 2007, Greece		(PPT)
A. Saxena, B. Wu, G. Vachtsevanos, “ Integrated Diagnosis and Prognosis Architecture for Fleet Vehicles Using Dynamic Case Based Reasoning“, Proceedings of the IEEE Autotestcon 2005, pp. 96-102, 2005 (Best Paper Award)		(PPT)
A. Saxena, G. Vachtsevanos, “ Processing Textual Information from Industrial Systems using Semantic Networks” 2nd Indian international Conference on Artificial Intelligence (IICAI 2005), Pune India, December 20-22, 2005		(PPT)
A. Saxena, B. Wu, G. Vachtsevanos, “ A Methodology for Analyzing Vibration Data from Planetary Gear Systems using Complex Morlet Wavelets” American Control Conference (ACC 2005)		(PPT)
B. Wu, A. Saxena, R. Patrick, G. Vachtsevanos, “ Vibration Monitoring for Fault Diagnosis of Planetary Gears,”, 16th IFAC World Congress, Prague
B. Wu, A. Saxena, T. S. Khawaja, R. Patrick, G. Vachtsevanos, P. Sparis, “ Data Analysis and Feature Selection for Fault Diagnosis of Planetary Gears,” IEEE Autotestcon 2004
A. Saxena, A. Saad,” Fault Diagnosis in Rotating Mechanical Systems Using Self-Organizing Maps“, Artificial Neural Networks in Engineering (ANNIE) 2004
A. Saxena, A. Saad, “Genetic Algorithms for ANN-based Condition Monitoring System Design for Rotating Mechanical Systems“, 9th Online World Conference on Soft Computing in Industrial Applications (WSC9), 2004		(PPT)
H. Berenji, Y. Wang, A. Saxena, “ Dynamic Case-Based Reasoning in Fault Diagnosis and Prognosis“, 2005 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE ’05)
A. Saxena, J.L., Dorrity, “Online Analysis of Textile Card Web Density”, Proceedings of ASME International mechanical Engineering Congress & Exposition, Washington, D.C., Nov. 2003		(PPT)

Posters
A. Saxena, S. Kang, “ A Cell BE Processor Application for Real-time Fault Diagnosis and Failure Prognosis of Systems” Georgia Tech, Sony/Toshiba/IBM Workshop on Software and Applications for the Cell/B.E. processor, Atlanta, GA June 18-19, 2007		(Poster)
A. Saxena, G. Vachtsevanos, “Vehicle Fleet Health Management Using Knowledge-Based Artificial Intelligence(KBAI) ” The 7th NASA-ESA Workshop on Product Data Exchange (PDE), Atlanta, Georgia USA, April 19-22, 2005		(Poster)

Other
A. Saxena, “ Online Web Monitoring of Card-Spinning Using Image Analysis“, Master’s Thesis Spring 03, School of Textile and Fiber Engineering, Georgia Institute of Technology
A.Saxena, A. Kansal, “Computer-aided Creel Loading Management System for patterned warp”, Bachelor’s Thesis 2001, Indian Institute of Technology Delhi, India

—Abhinav 17:18, 3 October 2006 (EDT)