Cover Image

Blade faults classification and detection methods: review

Blade faults are ranked among the most frequent causes for gas turbine failures. This paper provides a review on the types of blade faults as well as its pertinent detection methods. In this paper, blade faults are categorized into five major groups according to their nature and characteristics name...

Full description

Saved in:
Bibliographic Details
Main Authors: Lim, Meng Hee, Leong, Mohd. Salman, Hui, K. H.
Format: Article
Published: Trans Tech Publications Ltd. 2014
Subjects:
T Technology
Online Access:http://eprints.utm.my/id/eprint/52025/
http://dx.doi.org/10.4028/www.scientific.net/AMR.845.123
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.utm.52025
record_format eprints
spelling my.utm.520252018-11-30T07:00:22Z http://eprints.utm.my/id/eprint/52025/ Blade faults classification and detection methods: review Lim, Meng Hee Leong, Mohd. Salman Hui, K. H. T Technology Blade faults are ranked among the most frequent causes for gas turbine failures. This paper provides a review on the types of blade faults as well as its pertinent detection methods. In this paper, blade faults are categorized into five major groups according to their nature and characteristics namely, blade rubbing, blade fatigue failures, blade deformation, blade fouling, and blade root related problems such as cracked root and loose blade. This paper aims to provide an overview on the characteristics of each type of blade fault as well as its best detection methods available to date. Trans Tech Publications Ltd. 2014 Article PeerReviewed Lim, Meng Hee and Leong, Mohd. Salman and Hui, K. H. (2014) Blade faults classification and detection methods: review. Advanced Materials Research, 845 . pp. 123-127. ISSN 1022-6680 http://dx.doi.org/10.4028/www.scientific.net/AMR.845.123 DOI: 10.4028/www.scientific.net/AMR.845.123
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic T Technology
spellingShingle T Technology
Lim, Meng Hee
Leong, Mohd. Salman
Hui, K. H.
Blade faults classification and detection methods: review
description Blade faults are ranked among the most frequent causes for gas turbine failures. This paper provides a review on the types of blade faults as well as its pertinent detection methods. In this paper, blade faults are categorized into five major groups according to their nature and characteristics namely, blade rubbing, blade fatigue failures, blade deformation, blade fouling, and blade root related problems such as cracked root and loose blade. This paper aims to provide an overview on the characteristics of each type of blade fault as well as its best detection methods available to date.
format Article
author Lim, Meng Hee
Leong, Mohd. Salman
Hui, K. H.
author_facet Lim, Meng Hee
Leong, Mohd. Salman
Hui, K. H.
author_sort Lim, Meng Hee
title Blade faults classification and detection methods: review
title_short Blade faults classification and detection methods: review
title_full Blade faults classification and detection methods: review
title_fullStr Blade faults classification and detection methods: review
title_full_unstemmed Blade faults classification and detection methods: review
title_sort blade faults classification and detection methods: review
publisher Trans Tech Publications Ltd.
publishDate 2014
url http://eprints.utm.my/id/eprint/52025/
http://dx.doi.org/10.4028/www.scientific.net/AMR.845.123
_version_ 1643653131284774912
score 13.211869

Similar Items