The Optimal Morlet Wavelet and Its Application on Mechanical Fault Detection

被引：0

作者：

Zhang, Dan ^{[1
]}

Sui, Wentao ^{[2
]}

机构：

[1] Shandong Univ Technol, Sch Elect & Elect Engn, Zibo, Peoples R China

[2] Shandong Univ Technol, Sch Mech Engn, Zibo, Peoples R China

来源：

2009 5TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-8 | 2009年

关键词：

mechanical fault detection; Morlet wavelet; denoising method; wavelet transform; DIAGNOSIS;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

De-noising and extraction of the weak signal are very important to mechanical fault detection in which case signals often have very low signal-to-noise ratio (SNR). In this paper, a denoising method based on the optimal Morlet wavelet is applied to feature extraction for mechanical vibration signals. The wavelet shape parameters are optimized based on kurtosis maximization criteria. The effectiveness of the proposed technique on the extraction of impulsive features of mechanical fault signals has been proved by practical experiments.

引用

页码：1911 / +

页数：3

共 50 条

[1] Adaptive Parameter Identification Based on Morlet Wavelet and Application in Gearbox Fault Feature Detection [J].

Wang, Shibin ;

Zhu, Z. K. ;

He, Yingping ;

Huang, Weiguo .

EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING, 2010,

[2] GEARBOX FAULT FEATURE DETECTION BASED ON ADAPTIVE PARAMETER IDENTIFICATION WITH MORLET WAVELET [J].

Wang, Shi-Bin ;

Zhu, Zhong-Kui ;

Wang, An-Zhu .

PROCEEDINGS OF THE 2010 INTERNATIONAL CONFERENCE ON WAVELET ANALYSIS AND PATTERN RECOGNITION, 2010, :409-414

[3] Adaptive Reinforced Empirical Morlet Wavelet Transform and Its Application in Fault Diagnosis of Rotating Machinery [J].

Xin, Yu ;

Li, Shunming ;

Zhang, Zongzhen .

IEEE ACCESS, 2019, 7 :65150-65162

[4] Reinforced Morlet Wavelet Transform For Bearing Fault Diagnosis [J].

Zhou, J. -H. ;

Yang, X. .

IECON 2010 - 36TH ANNUAL CONFERENCE ON IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2010,

[5] Adaptive spectral kurtosis filtering based on Morlet wavelet and its application for signal transients detection [J].

Liu, Haiyang ;

Huang, Weiguo ;

Wang, Shibin ;

Zhu, Zhongkui .

SIGNAL PROCESSING, 2014, 96 :118-124

[6] Mechanical Vibration Analysis using ANC and Morlet Wavelet [J].

Sui, Wentao ;

Lu, Changhou .

ADVANCED MEASUREMENT AND TEST, PARTS 1 AND 2, 2010, 439-440 :1-5

[7] Bearing Fault Detection Based on Order Tracking and Complex Morlet Wavelet Transform [J].

Li, Hui .

ADVANCED MATERIALS AND COMPUTER SCIENCE, PTS 1-3, 2011, 474-476 :639-644

[8] High-impedance fault detection utilizing a Morlet wavelet transform approach [J].

Huang, SJ ;

Hsieh, CT .

IEEE TRANSACTIONS ON POWER DELIVERY, 1999, 14 (04) :1401-1410

[9] Frequency band optimization of Morlet complex wavelet and its application in fault diagnosis of inter-shaft bearing [J].

Ai Y. ;

Tian B. ;

Tian J. ;

Sun Z. ;

Wang Z. .

Hangkong Dongli Xuebao/Journal of Aerospace Power, 2020, 35 (01) :153-161

[10] Bearing fault diagnosis based on optimal Morlet wavelet filter and Teager-Kaiser energy operator [J].

Bendjama, Hocine .

JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING, 2022, 44 (09)

← 1 2 3 4 5 →