On empirical mode decomposition and envelope analysis for roller bearing diagnostics in case of single and double defect

碩士 === 國立中興大學 === 機械工程學系所 === 104 === In this research, the envelope analysis and relative period spectral analysis are utilized to diagnose the different defective classes of bearing under different stationary speed, including the single defect on inner race, outer race, and roller as well as the d...

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Main Authors: Ta-Chun Liu, 劉大均
Other Authors: 吳天堯
Format: Others
Language:zh-TW
Published: 2016
Online Access:http://ndltd.ncl.edu.tw/handle/74274205377611180159
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spelling ndltd-TW-104NCHU53110552017-01-12T04:11:59Z http://ndltd.ncl.edu.tw/handle/74274205377611180159 On empirical mode decomposition and envelope analysis for roller bearing diagnostics in case of single and double defect 運用經驗模態分解法與包絡線分析於單/雙損傷軸承故障診斷 Ta-Chun Liu 劉大均 碩士 國立中興大學 機械工程學系所 104 In this research, the envelope analysis and relative period spectral analysis are utilized to diagnose the different defective classes of bearing under different stationary speed, including the single defect on inner race, outer race, and roller as well as the double defects on outer race. First, the empirical mode decomposition is employed to decompose the signals into a number of intrinsic mode functions. The intrinsic mode functions that have obvious amplitude modulation phenomenon are then selected for envelope analysis. The successional procedure consists of two parts. In the first part, the fast Fourier transform algorithm is used to extract the frequency-domain features for identifying the single-defect classes. In the second part, the relative period spectrum is employed to extract the periodic features for diagnosing the double-defect classes. Finally, the support vector machine is utilized to classify the classes of signle-defect as well as the double-defect. 吳天堯 2016 學位論文 ; thesis 53 zh-TW
collection NDLTD
language zh-TW
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description 碩士 === 國立中興大學 === 機械工程學系所 === 104 === In this research, the envelope analysis and relative period spectral analysis are utilized to diagnose the different defective classes of bearing under different stationary speed, including the single defect on inner race, outer race, and roller as well as the double defects on outer race. First, the empirical mode decomposition is employed to decompose the signals into a number of intrinsic mode functions. The intrinsic mode functions that have obvious amplitude modulation phenomenon are then selected for envelope analysis. The successional procedure consists of two parts. In the first part, the fast Fourier transform algorithm is used to extract the frequency-domain features for identifying the single-defect classes. In the second part, the relative period spectrum is employed to extract the periodic features for diagnosing the double-defect classes. Finally, the support vector machine is utilized to classify the classes of signle-defect as well as the double-defect.
author2 吳天堯
author_facet 吳天堯
Ta-Chun Liu
劉大均
author Ta-Chun Liu
劉大均
spellingShingle Ta-Chun Liu
劉大均
On empirical mode decomposition and envelope analysis for roller bearing diagnostics in case of single and double defect
author_sort Ta-Chun Liu
title On empirical mode decomposition and envelope analysis for roller bearing diagnostics in case of single and double defect
title_short On empirical mode decomposition and envelope analysis for roller bearing diagnostics in case of single and double defect
title_full On empirical mode decomposition and envelope analysis for roller bearing diagnostics in case of single and double defect
title_fullStr On empirical mode decomposition and envelope analysis for roller bearing diagnostics in case of single and double defect
title_full_unstemmed On empirical mode decomposition and envelope analysis for roller bearing diagnostics in case of single and double defect
title_sort on empirical mode decomposition and envelope analysis for roller bearing diagnostics in case of single and double defect
publishDate 2016
url http://ndltd.ncl.edu.tw/handle/74274205377611180159
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