EARLY FAULT DIAGNOSIS OF ROLLING BEARING BASED ON WAVELET PACKET TRANSFORM ADAPTIVE TEAGER ENERGY SPECTRUM
Considering the early fault feature information of rolling bearings is difficult to identify,and form the frequency bands after wavelet packet decomposition can not be effectively determined and adaptive to extract the resonance band,the concept of amplitude entropy of frequency band is proposed.On...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Journal of Mechanical Strength
2017-01-01
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| Series: | Jixie qiangdu |
| Subjects: | |
| Online Access: | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2017.04.005 |
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| _version_ | 1841535238667239424 |
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| author | WANG ChaoGe REN XuePing SUN BaiYi WANG JianGuo |
| author_facet | WANG ChaoGe REN XuePing SUN BaiYi WANG JianGuo |
| author_sort | WANG ChaoGe |
| collection | DOAJ |
| description | Considering the early fault feature information of rolling bearings is difficult to identify,and form the frequency bands after wavelet packet decomposition can not be effectively determined and adaptive to extract the resonance band,the concept of amplitude entropy of frequency band is proposed.On this basis,the wavelet packet transform and Teager energy spectrum was combined,a rolling bearing early fault feature extraction method is proposed based on wavelet packet transform adaptive Teager energy spectrum.Firstly,the vibration signal was decomposed by wavelet packet,and the frequency amplitude entropy of each subband was calculated.Then,on the basis of kurtosis index to determine the best entropy and the optimal decomposition level of wavelet packet,thus,the resonance band was extracted adaptively and effectively.Finally,the Teager energy spectrum analysis was performed to identify the frequency of the bearing fault.Through the signal simulation and experimental data analysis it verifies the effectiveness of the proposed method. |
| format | Article |
| id | doaj-art-3cdcec32fa294792aa3ead89417a034c |
| institution | Kabale University |
| issn | 1001-9669 |
| language | zho |
| publishDate | 2017-01-01 |
| publisher | Editorial Office of Journal of Mechanical Strength |
| record_format | Article |
| series | Jixie qiangdu |
| spelling | doaj-art-3cdcec32fa294792aa3ead89417a034c2025-01-15T02:33:52ZzhoEditorial Office of Journal of Mechanical StrengthJixie qiangdu1001-96692017-01-013977378030598954EARLY FAULT DIAGNOSIS OF ROLLING BEARING BASED ON WAVELET PACKET TRANSFORM ADAPTIVE TEAGER ENERGY SPECTRUMWANG ChaoGeREN XuePingSUN BaiYiWANG JianGuoConsidering the early fault feature information of rolling bearings is difficult to identify,and form the frequency bands after wavelet packet decomposition can not be effectively determined and adaptive to extract the resonance band,the concept of amplitude entropy of frequency band is proposed.On this basis,the wavelet packet transform and Teager energy spectrum was combined,a rolling bearing early fault feature extraction method is proposed based on wavelet packet transform adaptive Teager energy spectrum.Firstly,the vibration signal was decomposed by wavelet packet,and the frequency amplitude entropy of each subband was calculated.Then,on the basis of kurtosis index to determine the best entropy and the optimal decomposition level of wavelet packet,thus,the resonance band was extracted adaptively and effectively.Finally,the Teager energy spectrum analysis was performed to identify the frequency of the bearing fault.Through the signal simulation and experimental data analysis it verifies the effectiveness of the proposed method.http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2017.04.005Rolling bearingAmplitude entropy of frequency bandWavelet packet transformTeager energy spectrumThe adaptive resonance frequency band extractionEarly fault |
| spellingShingle | WANG ChaoGe REN XuePing SUN BaiYi WANG JianGuo EARLY FAULT DIAGNOSIS OF ROLLING BEARING BASED ON WAVELET PACKET TRANSFORM ADAPTIVE TEAGER ENERGY SPECTRUM Jixie qiangdu Rolling bearing Amplitude entropy of frequency band Wavelet packet transform Teager energy spectrum The adaptive resonance frequency band extraction Early fault |
| title | EARLY FAULT DIAGNOSIS OF ROLLING BEARING BASED ON WAVELET PACKET TRANSFORM ADAPTIVE TEAGER ENERGY SPECTRUM |
| title_full | EARLY FAULT DIAGNOSIS OF ROLLING BEARING BASED ON WAVELET PACKET TRANSFORM ADAPTIVE TEAGER ENERGY SPECTRUM |
| title_fullStr | EARLY FAULT DIAGNOSIS OF ROLLING BEARING BASED ON WAVELET PACKET TRANSFORM ADAPTIVE TEAGER ENERGY SPECTRUM |
| title_full_unstemmed | EARLY FAULT DIAGNOSIS OF ROLLING BEARING BASED ON WAVELET PACKET TRANSFORM ADAPTIVE TEAGER ENERGY SPECTRUM |
| title_short | EARLY FAULT DIAGNOSIS OF ROLLING BEARING BASED ON WAVELET PACKET TRANSFORM ADAPTIVE TEAGER ENERGY SPECTRUM |
| title_sort | early fault diagnosis of rolling bearing based on wavelet packet transform adaptive teager energy spectrum |
| topic | Rolling bearing Amplitude entropy of frequency band Wavelet packet transform Teager energy spectrum The adaptive resonance frequency band extraction Early fault |
| url | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2017.04.005 |
| work_keys_str_mv | AT wangchaoge earlyfaultdiagnosisofrollingbearingbasedonwaveletpackettransformadaptiveteagerenergyspectrum AT renxueping earlyfaultdiagnosisofrollingbearingbasedonwaveletpackettransformadaptiveteagerenergyspectrum AT sunbaiyi earlyfaultdiagnosisofrollingbearingbasedonwaveletpackettransformadaptiveteagerenergyspectrum AT wangjianguo earlyfaultdiagnosisofrollingbearingbasedonwaveletpackettransformadaptiveteagerenergyspectrum |