Optimal sensor placement approaches for the design of inverse experiments by simulation

dc.contributor.advisorWilke, Daniel Nicolas
dc.contributor.postgraduateChae, Younghwan
dc.date.accessioned2017-03-22T13:41:57Z
dc.date.available2017-03-22T13:41:57Z
dc.date.created2017
dc.date.issued2017
dc.descriptionDissertation (MEng)--University of Pretoria, 2017.en_ZA
dc.description.abstractThis dissertation serves to present the research conducted on sensor placement optimisation (SPO) using sensitivity analyses of virtual experiments in order to design virtual inverse problems. Two classes of SPO methods are considered namely mode-based and mode-free approaches. The mode-based approaches make use of SIMPLS and SVD to extract useful data by examining the correlation between the target variables (characterising variables) and the sensor measurement variables, while the mode-free approaches eliminate the need of spending the extra time required to extract modes, which ultimately leads to successful sensor placement for solving inverse problems. The aim of the mode-free approach is to maximise the variance explained subject to uniqueness of the information of each sensor. Both approaches aim to maximise the potential of an experimental setup to solve an inverse problem by using the right number of sensors and placing them at the optimal spatial positions. SPO is not only capable of designing an experiment but it is also capable of classifying the well-posed or ill- posed nature of an existing experiment that can be modelled, which saves both time and cost. The approach followed in this study was to design a simple virtual inverse problem for which the well or ill-posedness of the problem can be controlled. Numerous virtual experiments were conducted that varied from well-posed to severely ill-posed to allow for rigorous testing of the various approaches. The e ect of model error and stochastic noise on ability to reliably place sensors is also investigated.en_ZA
dc.description.availabilityUnrestricteden_ZA
dc.description.degreeMEngen_ZA
dc.description.departmentMechanical and Aeronautical Engineeringen_ZA
dc.description.sponsorshipNational Research Foundation (NRF)en_ZA
dc.identifier.citationChae, Y 2017, Optimal sensor placement approaches for the design of inverse experiments by simulation, MEng Dissertation, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/59503>en_ZA
dc.identifier.otherA2017en_ZA
dc.identifier.urihttp://hdl.handle.net/2263/59503
dc.language.isoenen_ZA
dc.publisherUniversity of Pretoria
dc.rights© 2017 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria.en_ZA
dc.subjectUCTDen_ZA
dc.subjectOptimal sensor placement
dc.subjectInverse experiments
dc.subjectSimulation
dc.subject.otherEngineering, built environment and information technology theses SDG-09
dc.subject.otherSDG-09: Industry, innovation and infrastructure
dc.subject.otherEngineering, built environment and information technology theses SDG-07
dc.subject.otherSDG-07: Affordable and clean energy
dc.subject.otherEngineering, built environment and information technology theses SDG-12
dc.subject.otherSDG-12: Responsible consumption and production
dc.titleOptimal sensor placement approaches for the design of inverse experiments by simulationen_ZA
dc.typeDissertationen_ZA

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Chae_Optimal_2017.pdf
Size:
10.23 MB
Format:
Adobe Portable Document Format
Description:
Dissertation

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.75 KB
Format:
Item-specific license agreed upon to submission
Description: