Vibration Signal Analysis of RV Reducer based on Wavelet Theory
The structure of RV reducer is complex,the vibration signal generated during the operation will be interfered by a lot of random noises due to the vibration excitation source. It will affect the real vibration signal be identified. The wavelet transform theory and the principle of signal recognition...
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Format: | Article |
Language: | zho |
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Editorial Office of Journal of Mechanical Transmission
2018-01-01
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Series: | Jixie chuandong |
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Online Access: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2018.05.003 |
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author | Chen Liguo Wang Jiugen Zhang Jing |
author_facet | Chen Liguo Wang Jiugen Zhang Jing |
author_sort | Chen Liguo |
collection | DOAJ |
description | The structure of RV reducer is complex,the vibration signal generated during the operation will be interfered by a lot of random noises due to the vibration excitation source. It will affect the real vibration signal be identified. The wavelet transform theory and the principle of signal recognition analysis and noise reduction analysis are introduced. The vibration signal of domestic SHPR-20 E RV reducer is analyzed based on wavelet transform theory,and signal recognition and noise reduction of vibration signal is analyzed. Through the test and analysis,it is shown that the wavelet transform has a good multi-resolution recognition property in time-frequency domain and can eliminate the noise effectively and extract the fault characteristic information of the signal. It provides a reference value for signal identification and analysis,fault diagnosis and extraction of RV reducer. |
format | Article |
id | doaj-art-db6b948857354d50ba1893b1c19ac3e3 |
institution | Kabale University |
issn | 1004-2539 |
language | zho |
publishDate | 2018-01-01 |
publisher | Editorial Office of Journal of Mechanical Transmission |
record_format | Article |
series | Jixie chuandong |
spelling | doaj-art-db6b948857354d50ba1893b1c19ac3e32025-01-10T14:42:03ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392018-01-0142141729936345Vibration Signal Analysis of RV Reducer based on Wavelet TheoryChen LiguoWang JiugenZhang JingThe structure of RV reducer is complex,the vibration signal generated during the operation will be interfered by a lot of random noises due to the vibration excitation source. It will affect the real vibration signal be identified. The wavelet transform theory and the principle of signal recognition analysis and noise reduction analysis are introduced. The vibration signal of domestic SHPR-20 E RV reducer is analyzed based on wavelet transform theory,and signal recognition and noise reduction of vibration signal is analyzed. Through the test and analysis,it is shown that the wavelet transform has a good multi-resolution recognition property in time-frequency domain and can eliminate the noise effectively and extract the fault characteristic information of the signal. It provides a reference value for signal identification and analysis,fault diagnosis and extraction of RV reducer.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2018.05.003RV reducerWavelet analysisVibration signalRecognition analysisNoise reduction |
spellingShingle | Chen Liguo Wang Jiugen Zhang Jing Vibration Signal Analysis of RV Reducer based on Wavelet Theory Jixie chuandong RV reducer Wavelet analysis Vibration signal Recognition analysis Noise reduction |
title | Vibration Signal Analysis of RV Reducer based on Wavelet Theory |
title_full | Vibration Signal Analysis of RV Reducer based on Wavelet Theory |
title_fullStr | Vibration Signal Analysis of RV Reducer based on Wavelet Theory |
title_full_unstemmed | Vibration Signal Analysis of RV Reducer based on Wavelet Theory |
title_short | Vibration Signal Analysis of RV Reducer based on Wavelet Theory |
title_sort | vibration signal analysis of rv reducer based on wavelet theory |
topic | RV reducer Wavelet analysis Vibration signal Recognition analysis Noise reduction |
url | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2018.05.003 |
work_keys_str_mv | AT chenliguo vibrationsignalanalysisofrvreducerbasedonwavelettheory AT wangjiugen vibrationsignalanalysisofrvreducerbasedonwavelettheory AT zhangjing vibrationsignalanalysisofrvreducerbasedonwavelettheory |