WAVELET CONSTRUCTION BASED ON DATA FITTING AND BEARING FAULT DIAGNOSIS
Constructing the optimal wavelet function is the key to realize lifting Wavelet de-noising.After determining the optimal decomposition level and effective threshold, it tries to introduce data fitting methodin the process of interpolation subdivision. By selecting different basis function, sample po...
Saved in:
Main Author: | |
---|---|
Format: | Article |
Language: | zho |
Published: |
Editorial Office of Journal of Mechanical Strength
2019-01-01
|
Series: | Jixie qiangdu |
Subjects: | |
Online Access: | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2019.02.010 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1841535605092122624 |
---|---|
author | LI HaiYing |
author_facet | LI HaiYing |
author_sort | LI HaiYing |
collection | DOAJ |
description | Constructing the optimal wavelet function is the key to realize lifting Wavelet de-noising.After determining the optimal decomposition level and effective threshold, it tries to introduce data fitting methodin the process of interpolation subdivision. By selecting different basis function, sample points and the dimensions of the basis function, the new wavelet function is constructed with different smoothness, shock and disappear moment, it introducesthe similarity coefficient to analyze the constructed wavelet function and select the optimum wavelet function.It combines with redundant lifting wavelettransform to improve the predict operators and update operators. The superiority of the wavelet function in vibration signal de-noising is verified by simulation and engineering data analysis, this method is helpful for bearing fault diagnosis. |
format | Article |
id | doaj-art-1d5a241bd5704d46acdd7b243e2ef7c3 |
institution | Kabale University |
issn | 1001-9669 |
language | zho |
publishDate | 2019-01-01 |
publisher | Editorial Office of Journal of Mechanical Strength |
record_format | Article |
series | Jixie qiangdu |
spelling | doaj-art-1d5a241bd5704d46acdd7b243e2ef7c32025-01-15T02:30:11ZzhoEditorial Office of Journal of Mechanical StrengthJixie qiangdu1001-96692019-01-014131431930604205WAVELET CONSTRUCTION BASED ON DATA FITTING AND BEARING FAULT DIAGNOSISLI HaiYingConstructing the optimal wavelet function is the key to realize lifting Wavelet de-noising.After determining the optimal decomposition level and effective threshold, it tries to introduce data fitting methodin the process of interpolation subdivision. By selecting different basis function, sample points and the dimensions of the basis function, the new wavelet function is constructed with different smoothness, shock and disappear moment, it introducesthe similarity coefficient to analyze the constructed wavelet function and select the optimum wavelet function.It combines with redundant lifting wavelettransform to improve the predict operators and update operators. The superiority of the wavelet function in vibration signal de-noising is verified by simulation and engineering data analysis, this method is helpful for bearing fault diagnosis.http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2019.02.010De-noisingWavelet structureData fittingFault diagnosis |
spellingShingle | LI HaiYing WAVELET CONSTRUCTION BASED ON DATA FITTING AND BEARING FAULT DIAGNOSIS Jixie qiangdu De-noising Wavelet structure Data fitting Fault diagnosis |
title | WAVELET CONSTRUCTION BASED ON DATA FITTING AND BEARING FAULT DIAGNOSIS |
title_full | WAVELET CONSTRUCTION BASED ON DATA FITTING AND BEARING FAULT DIAGNOSIS |
title_fullStr | WAVELET CONSTRUCTION BASED ON DATA FITTING AND BEARING FAULT DIAGNOSIS |
title_full_unstemmed | WAVELET CONSTRUCTION BASED ON DATA FITTING AND BEARING FAULT DIAGNOSIS |
title_short | WAVELET CONSTRUCTION BASED ON DATA FITTING AND BEARING FAULT DIAGNOSIS |
title_sort | wavelet construction based on data fitting and bearing fault diagnosis |
topic | De-noising Wavelet structure Data fitting Fault diagnosis |
url | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2019.02.010 |
work_keys_str_mv | AT lihaiying waveletconstructionbasedondatafittingandbearingfaultdiagnosis |