Research on De-noising of Fault Signal Based on Improved Multi-wavelets

被引：0

作者：

Zhang Jiali ^{[1
]}

Wang Jie ^{[1
]}

Wang Wenfeng ^{[1
,2
,3
]}

Zhang Lin ^{[1
]}

Zhao Haizhou ^{[1
]}

Lei Rongqiang ^{[1
]}

机构：

[1] Air Force Engn Univ, Air Def & Antimissile Inst, Xian 710051, Peoples R China

[2] China Aerosp Sci & Ind Corp, Acad 10, Inst 302, Guiyang 550009, Peoples R China

[3] Beihang Univ, Sch Automat Sci & Elect Engn, Beijing 100191, Peoples R China

来源：

2016 ASIA CONFERENCE ON POWER AND ELECTRICAL ENGINEERING (ACPEE 2016) | 2016年 / 55卷

关键词：

D O I：

10.1051/matecconf/20165503005

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

Aiming at signal de-noising of fault diagnosis, we need obtain fault signal of high signal to noise ratio with multi-wavelets which need little prior knowledge and are uninfluenced by waveform matching. Here, this paper determines the wavelet basis through contrast experiment, and the decomposition level is confirmed by the principles of making noise fraction from details and making low energy from general picture, threshold is ensured by the method of midpoint optimization. The simulation shows that this method can enhance signal to noise ratio obviously.

引用

页数：6

共 50 条

[1] Edge Detection for Phytoplankton Cellular Based on Multi-wavelets De-noising
Sang, Xueqin
Ji, Guangrong
Li, Minglong
Wang, Nengqiang
[J]. 2010 2ND INTERNATIONAL CONFERENCE ON COMPUTER AND AUTOMATION ENGINEERING (ICCAE 2010), VOL 2, 2010, : 190 - 193
[2] Research of the gyro signal de-noising method based on stationary wavelets transform
Guo, JC
Teng, JF
Li, Q
[J]. WAVELET ANALYSIS AND ITS APPLICATIONS (WAA), VOLS 1 AND 2, 2003, : 807 - 813
[3] Research of gyro signal de-noising with stationary wavelets transform
Qiang, L
Teng, JF
Wang, X
Zhang, YQ
Guo, JC
[J]. CCECE 2003: CANADIAN CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING, VOLS 1-3, PROCEEDINGS: TOWARD A CARING AND HUMANE TECHNOLOGY, 2003, : 1989 - 1992
[4] The Research on ICG signal De-noising
Liu, Shan
Yue, Keming
Yang, Hua
Guo, Ting
[J]. PROCEEDINGS OF 2016 IEEE ADVANCED INFORMATION MANAGEMENT, COMMUNICATES, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (IMCEC 2016), 2016, : 1725 - 1728
[5] Research of signal de-noising technique based on wavelet
Hu, Shigang
Hu, Yinglu
Wu, Xiaofeng
Li, Jin
Xi, Zaifang
Zhao, Jin
[J]. Telkomnika - Indonesian Journal of Electrical Engineering, 2013, 11 (09): : 5141 - 5149
[6] Signal De-Noising Based on Improved Matching Pursuit Algorithm
Li, Lina
Zeng, Qingxun
Gan, Xiaoye
Ma, Jun
[J]. FUZZY SYSTEMS, KNOWLEDGE DISCOVERY AND NATURAL COMPUTATION SYMPOSIUM (FSKDNC 2013), 2013, : 507 - 516
[7] Vibration signal de-noising based on improved EMD algorithm
Yi, Wenhua
Liu, Liansheng
Yan, Lei
Dong, Binbin
[J]. Baozha Yu Chongji/Explosion and Shock Waves, 2020, 40 (09):
[8] Absorption spectrophotometry signal de-noising using invariant wavelets
Vargas Canas, Rubiel
Loaiza Correa, Humberto
[J]. INGENIERIA E INVESTIGACION, 2011, 31 (03): : 142 - 154
[9] Wavelets, adapted waveforms and de-noising
Coifman, RR
Wickerhauser, MV
[J]. CONTINUOUS WAVE-FORM ANALYSIS, 1996, (45): : 57 - 78
[10] A VMD Based Improved De-noising of Onboard BTM Receiving Signal
Geng, Qi
Wen, Yinghong
Liu, Shanghe
Zhang, Dan
[J]. CHINESE JOURNAL OF ELECTRONICS, 2020, 29 (01) : 66 - 72

← 1 2 3 4 5 →