Novel detection soft-computing algorithm for structural health monitoring system

In view of the criticality of structural integrity, there are many approaches and Structural Health Monitoring (SHM) techniques developed to detect damage or crack in engineering structures. However, there is a lack of attention on developing SHM software for the damage detection in the market. This...

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Main Author:	Ng, Kian Theng
Format:	Thesis
Language:	English
Published:	2013
Subjects:	Structural analysis (Engineering) - Computer simulation Soft computing - Industrial applications
Online Access:	http://psasir.upm.edu.my/id/eprint/47582/1/FK%202013%2059R.pdf
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id	my-upm-ir.47582
record_format	uketd_dc
spelling	my-upm-ir.475822016-07-22T03:41:16Z Novel detection soft-computing algorithm for structural health monitoring system 2013-08 Ng, Kian Theng In view of the criticality of structural integrity, there are many approaches and Structural Health Monitoring (SHM) techniques developed to detect damage or crack in engineering structures. However, there is a lack of attention on developing SHM software for the damage detection in the market. This research aims to develop Novitect, a soft computing platform system for SHM. Novitect is developed using MATLAB 2008-Graphical User Interface (GUIDE) module and designed to formulate novelty detection method employing outlier analysis (OA) for multivariate problem. This system allows users to calculate the novelty index and to display the novelty index plot by processing the data which are in either .MAT or .XLSX format. For this work, the data was based on the acquired waveform response via a smart sensor, piezoceramic transducer (PZT). In the first phase of the designing the Novitect software, the validation of the developed soft computing platform was carried out using acquired data from a hollow cylinder-like structure available from the existing published work. The effectiveness of the developed Novitect was done by executing experiment work on aircraft spoiler which consist of two structural conditions; undamaged and damaged. It was discovered that Novitect is capable to be served as the in-service SHM maintenance tool. Structural analysis (Engineering) - Computer simulation Soft computing - Industrial applications 2013-08 Thesis http://psasir.upm.edu.my/id/eprint/47582/ http://psasir.upm.edu.my/id/eprint/47582/1/FK%202013%2059R.pdf application/pdf en public masters Universiti Putra Malaysia Structural analysis (Engineering) - Computer simulation Soft computing - Industrial applications
institution	Universiti Putra Malaysia
collection	PSAS Institutional Repository
language	English
topic	Structural analysis (Engineering) - Computer simulation Soft computing - Industrial applications
spellingShingle	Structural analysis (Engineering) - Computer simulation Soft computing - Industrial applications Ng, Kian Theng Novel detection soft-computing algorithm for structural health monitoring system
description	In view of the criticality of structural integrity, there are many approaches and Structural Health Monitoring (SHM) techniques developed to detect damage or crack in engineering structures. However, there is a lack of attention on developing SHM software for the damage detection in the market. This research aims to develop Novitect, a soft computing platform system for SHM. Novitect is developed using MATLAB 2008-Graphical User Interface (GUIDE) module and designed to formulate novelty detection method employing outlier analysis (OA) for multivariate problem. This system allows users to calculate the novelty index and to display the novelty index plot by processing the data which are in either .MAT or .XLSX format. For this work, the data was based on the acquired waveform response via a smart sensor, piezoceramic transducer (PZT). In the first phase of the designing the Novitect software, the validation of the developed soft computing platform was carried out using acquired data from a hollow cylinder-like structure available from the existing published work. The effectiveness of the developed Novitect was done by executing experiment work on aircraft spoiler which consist of two structural conditions; undamaged and damaged. It was discovered that Novitect is capable to be served as the in-service SHM maintenance tool.
format	Thesis
qualification_level	Master's degree
author	Ng, Kian Theng
author_facet	Ng, Kian Theng
author_sort	Ng, Kian Theng
title	Novel detection soft-computing algorithm for structural health monitoring system
title_short	Novel detection soft-computing algorithm for structural health monitoring system
title_full	Novel detection soft-computing algorithm for structural health monitoring system
title_fullStr	Novel detection soft-computing algorithm for structural health monitoring system
title_full_unstemmed	Novel detection soft-computing algorithm for structural health monitoring system
title_sort	novel detection soft-computing algorithm for structural health monitoring system
granting_institution	Universiti Putra Malaysia
publishDate	2013
url	http://psasir.upm.edu.my/id/eprint/47582/1/FK%202013%2059R.pdf
_version_	1747811944294776832

Novel detection soft-computing algorithm for structural health monitoring system

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