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...

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Main Author: LI HaiYing
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
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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