A Combinatorial Optimization Problem for High Order PODs with Few Sensors

[+] Author and Article Information
Atanu K. Mohanty

Supercomputer Education and Research Centre, Indian Institute of Science, Bangalore, 560012, Indiaamohanty@serc.iisc.ernet.in

Kanad Chakraborty

Signal Integrity and Interconnect Analysis Group, Agere Systems, Allentown, PA 18109kanadc@agere.com

Anindya Chatterjee

Department of Mechanical Engineering, Indian Institute of Science, Bangalore, 560012, Indiaanindya100@gmail.com

J. Vib. Acoust 129(2), 252-255 (Nov 17, 2006) (4 pages) doi:10.1115/1.2424983 History: Received March 16, 2006; Revised November 17, 2006

Experimental characterization of high dimensional dynamic systems sometimes uses the proper orthogonal decomposition (POD). If there are many measurement locations and relatively fewer sensors, then steady-state behavior can still be studied by sequentially taking several sets of simultaneous measurements. The number required of such sets of measurements can be minimized if we solve a combinatorial optimization problem. We aim to bring this problem to the attention of engineering audiences, summarize some known mathematical results about this problem, and present a heuristic (suboptimal) calculation that gives reasonable, if not stellar, results.

Copyright © 2007 by American Society of Mechanical Engineers
Your Session has timed out. Please sign back in to continue.





Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related Journal Articles
Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In