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Defect classification in reciprocating compressor using acoustic emission technique / Sim Hoi Yin

Performance of reciprocating machines relies heavily on health condition of its moving components, most importantly the valve. Non-intrusive methods such as vibration or acoustic emission (AE) technique are preferable in valve failure diagnosis as they can provide earlier fault detection. In this st...

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Bibliographic Details
Main Author: Sim, Hoi Yin
Format: Thesis
Published: 2013
Subjects:
T Technology (General)
TA Engineering (General). Civil engineering (General)
Online Access:http://studentsrepo.um.edu.my/8717/16/Sim_MEngSC_Thesis_2013_editted.pdf
http://studentsrepo.um.edu.my/8717/
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spelling my.um.stud.87172018-10-16T18:31:54Z Defect classification in reciprocating compressor using acoustic emission technique / Sim Hoi Yin Sim, Hoi Yin T Technology (General) TA Engineering (General). Civil engineering (General) Performance of reciprocating machines relies heavily on health condition of its moving components, most importantly the valve. Non-intrusive methods such as vibration or acoustic emission (AE) technique are preferable in valve failure diagnosis as they can provide earlier fault detection. In this study, a valve failure detection methodology is proposed by using the AE technique. Wavelet packet transform (WPT) is chosen as the signal processing method over continuous wavelet transform (CWT) and discrete wavelet transform (DWT). This is because WPT can overcome high computational time and high redundancy problem in CWT and capable of providing detailed analysis of high frequency components which is found feeble in DWT. The features of AE signal can be extracted by computing normalized WPT coefficients under different valve conditions and machine operating conditions through statistical method. Finally, a classifying strategy is proposed to discriminate the signal under different valve conditions. Vibration signal will serve as a reference in comparing the effectiveness of AE signal in valve failure detection. 2013-05 Thesis NonPeerReviewed application/pdf http://studentsrepo.um.edu.my/8717/16/Sim_MEngSC_Thesis_2013_editted.pdf Sim, Hoi Yin (2013) Defect classification in reciprocating compressor using acoustic emission technique / Sim Hoi Yin. Masters thesis, University of Malaya. http://studentsrepo.um.edu.my/8717/
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Student Repository
url_provider http://studentsrepo.um.edu.my/
topic T Technology (General)
TA Engineering (General). Civil engineering (General)
spellingShingle T Technology (General)
TA Engineering (General). Civil engineering (General)
Sim, Hoi Yin
Defect classification in reciprocating compressor using acoustic emission technique / Sim Hoi Yin
description Performance of reciprocating machines relies heavily on health condition of its moving components, most importantly the valve. Non-intrusive methods such as vibration or acoustic emission (AE) technique are preferable in valve failure diagnosis as they can provide earlier fault detection. In this study, a valve failure detection methodology is proposed by using the AE technique. Wavelet packet transform (WPT) is chosen as the signal processing method over continuous wavelet transform (CWT) and discrete wavelet transform (DWT). This is because WPT can overcome high computational time and high redundancy problem in CWT and capable of providing detailed analysis of high frequency components which is found feeble in DWT. The features of AE signal can be extracted by computing normalized WPT coefficients under different valve conditions and machine operating conditions through statistical method. Finally, a classifying strategy is proposed to discriminate the signal under different valve conditions. Vibration signal will serve as a reference in comparing the effectiveness of AE signal in valve failure detection.
format Thesis
author Sim, Hoi Yin
author_facet Sim, Hoi Yin
author_sort Sim, Hoi Yin
title Defect classification in reciprocating compressor using acoustic emission technique / Sim Hoi Yin
title_short Defect classification in reciprocating compressor using acoustic emission technique / Sim Hoi Yin
title_full Defect classification in reciprocating compressor using acoustic emission technique / Sim Hoi Yin
title_fullStr Defect classification in reciprocating compressor using acoustic emission technique / Sim Hoi Yin
title_full_unstemmed Defect classification in reciprocating compressor using acoustic emission technique / Sim Hoi Yin
title_sort defect classification in reciprocating compressor using acoustic emission technique / sim hoi yin
publishDate 2013
url http://studentsrepo.um.edu.my/8717/16/Sim_MEngSC_Thesis_2013_editted.pdf
http://studentsrepo.um.edu.my/8717/
_version_ 1738506177028816896
score 13.211869

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