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contributor authorAtanu K. Mohanty
contributor authorKanad Chakraborty
contributor authorAnindya Chatterjee
date accessioned2017-05-09T00:26:23Z
date available2017-05-09T00:26:23Z
date copyrightApril, 2007
date issued2007
identifier issn1048-9002
identifier otherJVACEK-28885#252_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/137143
description abstractExperimental 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.
publisherThe American Society of Mechanical Engineers (ASME)
titleA Combinatorial Optimization Problem for High Order PODs with Few Sensors
typeJournal Paper
journal volume129
journal issue2
journal titleJournal of Vibration and Acoustics
identifier doi10.1115/1.2424983
journal fristpage252
journal lastpage255
identifier eissn1528-8927
keywordsMeasurement
keywordsSensors
keywordsAlgorithms
keywordsDesign AND Optimization
treeJournal of Vibration and Acoustics:;2007:;volume( 129 ):;issue: 002
contenttypeFulltext


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