A knowledge based system for vibration severity assessment and diagnosis of rotating machines

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Main Author: Al-Irhayim, Zyad T. Abdul Kadir
Format: Thesis
Published: 1996
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id my-utm-ep.44087
record_format uketd_dc
spelling my-utm-ep.440872017-10-09T04:24:50Z A knowledge based system for vibration severity assessment and diagnosis of rotating machines 1996 Al-Irhayim, Zyad T. Abdul Kadir TJ Mechanical engineering and machinery 1996 Thesis http://eprints.utm.my/id/eprint/44087/ masters Universiti Teknologi Malaysia, Faculty of Mechanical Engineering Faculty of Mechanical Engineering
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
Al-Irhayim, Zyad T. Abdul Kadir
A knowledge based system for vibration severity assessment and diagnosis of rotating machines
description
format Thesis
qualification_level Master's degree
author Al-Irhayim, Zyad T. Abdul Kadir
author_facet Al-Irhayim, Zyad T. Abdul Kadir
author_sort Al-Irhayim, Zyad T. Abdul Kadir
title A knowledge based system for vibration severity assessment and diagnosis of rotating machines
title_short A knowledge based system for vibration severity assessment and diagnosis of rotating machines
title_full A knowledge based system for vibration severity assessment and diagnosis of rotating machines
title_fullStr A knowledge based system for vibration severity assessment and diagnosis of rotating machines
title_full_unstemmed A knowledge based system for vibration severity assessment and diagnosis of rotating machines
title_sort knowledge based system for vibration severity assessment and diagnosis of rotating machines
granting_institution Universiti Teknologi Malaysia, Faculty of Mechanical Engineering
granting_department Faculty of Mechanical Engineering
publishDate 1996
_version_ 1747817140517339136