Risk model for electrical and instrumentation installation for power generation system onboard ship

Installation of electrical and instrumentation of power generation system onboard ship is not without risk. Risks exist in many stages of the installation process and may lead to system failure. For decades it has been accepted by all the installation engineers representing the shipowner, the shipya...

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Main Author:	Alias, Mohd. Azahar
Format:	Thesis
Language:	English
Published:	2013
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://eprints.utm.my/id/eprint/40600/5/MohdAzaharAliasMFKM2013.pdf
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spelling	my-utm-ep.406002017-07-23T07:05:34Z Risk model for electrical and instrumentation installation for power generation system onboard ship 2013-02 Alias, Mohd. Azahar TJ Mechanical engineering and machinery Installation of electrical and instrumentation of power generation system onboard ship is not without risk. Risks exist in many stages of the installation process and may lead to system failure. For decades it has been accepted by all the installation engineers representing the shipowner, the shipyard, the equipment manufacturer and the classification society that risk from each of the six main installation stages namely site preparation (P1), installation of prime mover and alternator (P2), cabling works including laying and termination (P3), installation of instrumentation equipment and accessories (P4), system interfacing and integration (P5) and system testing and commissioning (P6) is remote and independent. Separate contractors are engaged for each of the first four stages and without the knowledge that risk from one stage may be connected to the next immediate stage and may finally accumulate to cause total system failure. Data were collected using questionnaires and analysed using Statistical Package for Social Science (SPSS). Descriptive analysis is used to determine the level of risk, Pearson Chi Square method is used to check risk dependency and Pearson r2 method is used to check correlations between risks. The aim is to verify the correct sequence of installation stages, their levels or risk, risks‘ dependencies and correlations and finally develop the failure model for the installation process. The research has verified and later validated using data from Bunga Seroja ship that P1, P2, P3, P4, P5 and P6 are in that right order. The respondents agree that risks for P1, P2, P3 and P4 are low (mean of 1.71 to 2.10 corresponding to ―Agree‖ on the Likert scale used) while P5 and P6 are high (mean of 2.0 and 1.73 respectively). Risk on P2 is dependent on risk on P1, P3 is dependent on P2, P4 is dependent on P3, P5 is dependent on P4 and P6 is dependent on P5. There are strong correlations between the risks as indicated by the relatively high r2-value between P1 and P2 is 0.648, 0.774 between P1 and P3, 0.684 between P1 and P4, 0.654 between P2 and P3, 0.676 between P2 and P4, 0.673 between P3 and P4 and 0.519 between P5 and P6. The model developed indicates that the installation process will fail when P5 or P6 fails 2013-02 Thesis http://eprints.utm.my/id/eprint/40600/ http://eprints.utm.my/id/eprint/40600/5/MohdAzaharAliasMFKM2013.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Mechanical Engineering Faculty of Mechanical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TJ Mechanical engineering and machinery
spellingShingle	TJ Mechanical engineering and machinery Alias, Mohd. Azahar Risk model for electrical and instrumentation installation for power generation system onboard ship
description	Installation of electrical and instrumentation of power generation system onboard ship is not without risk. Risks exist in many stages of the installation process and may lead to system failure. For decades it has been accepted by all the installation engineers representing the shipowner, the shipyard, the equipment manufacturer and the classification society that risk from each of the six main installation stages namely site preparation (P1), installation of prime mover and alternator (P2), cabling works including laying and termination (P3), installation of instrumentation equipment and accessories (P4), system interfacing and integration (P5) and system testing and commissioning (P6) is remote and independent. Separate contractors are engaged for each of the first four stages and without the knowledge that risk from one stage may be connected to the next immediate stage and may finally accumulate to cause total system failure. Data were collected using questionnaires and analysed using Statistical Package for Social Science (SPSS). Descriptive analysis is used to determine the level of risk, Pearson Chi Square method is used to check risk dependency and Pearson r2 method is used to check correlations between risks. The aim is to verify the correct sequence of installation stages, their levels or risk, risks‘ dependencies and correlations and finally develop the failure model for the installation process. The research has verified and later validated using data from Bunga Seroja ship that P1, P2, P3, P4, P5 and P6 are in that right order. The respondents agree that risks for P1, P2, P3 and P4 are low (mean of 1.71 to 2.10 corresponding to ―Agree‖ on the Likert scale used) while P5 and P6 are high (mean of 2.0 and 1.73 respectively). Risk on P2 is dependent on risk on P1, P3 is dependent on P2, P4 is dependent on P3, P5 is dependent on P4 and P6 is dependent on P5. There are strong correlations between the risks as indicated by the relatively high r2-value between P1 and P2 is 0.648, 0.774 between P1 and P3, 0.684 between P1 and P4, 0.654 between P2 and P3, 0.676 between P2 and P4, 0.673 between P3 and P4 and 0.519 between P5 and P6. The model developed indicates that the installation process will fail when P5 or P6 fails
format	Thesis
qualification_level	Master's degree
author	Alias, Mohd. Azahar
author_facet	Alias, Mohd. Azahar
author_sort	Alias, Mohd. Azahar
title	Risk model for electrical and instrumentation installation for power generation system onboard ship
title_short	Risk model for electrical and instrumentation installation for power generation system onboard ship
title_full	Risk model for electrical and instrumentation installation for power generation system onboard ship
title_fullStr	Risk model for electrical and instrumentation installation for power generation system onboard ship
title_full_unstemmed	Risk model for electrical and instrumentation installation for power generation system onboard ship
title_sort	risk model for electrical and instrumentation installation for power generation system onboard ship
granting_institution	Universiti Teknologi Malaysia, Faculty of Mechanical Engineering
granting_department	Faculty of Mechanical Engineering
publishDate	2013
url	http://eprints.utm.my/id/eprint/40600/5/MohdAzaharAliasMFKM2013.pdf
_version_	1747816561331142656

Risk model for electrical and instrumentation installation for power generation system onboard ship

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