Novel Higher-Order Spectral Cross-Correlation Technologies for Vibration Sensor-Based Diagnosis of Gearboxes

被引：18

作者：

Gelman, Len ^{[1
]}

Solinski, Krzysztof ^{[2
]}

Ball, Andrew ^{[1
]}

机构：

[1] Univ Huddersfield, Dept Engn & Technol, Huddersfield HD1 3DH, W Yorkshire, England

[2] Meggitt Sensing Syst, Rte Moncor 4, CH-1701 Fribourg, Switzerland

来源：

SENSORS | 2020年 / 20卷 / 18期

关键词：

wavelet spectral cross-correlation; gearbox fault diagnosis vibration analysis; WAVELET BICOHERENCE; FREQUENCY TRANSFORM; FAULT-DETECTION; SIGNALS; DAMAGE; BEARINGS; SPEED; DECOMPOSITION; BISPECTRUM;

D O I：

10.3390/s20185131

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

Novel vibration sensor-based diagnostic technologies, built on the higher order wavelet spectral cross-correlation (WSC), are proposed, investigated and applied to gearbox vibration diagnosis for the first time in worldwide terms. The proposed WSC-based technologies do not feature any constrains in selection of signal spectral components, relations between which are analysed. That is a radical improvement in comparison with the higher-order spectra (HOS). The WSC technologies are applied for an experimental diagnosis of a local gear tooth fault of a helical gearbox that is developed during a long duration gearbox endurance test. Differences between the applied technologies and advantages of the novel WSC approach over the classical HOS are explained in detail. Superiority of the WSC technologies is justified by high validity comprehensive experimental comparison with the HOS technologies: i.e., the wavelet bicoherence and the wavelet tricoherence.

引用

页码：1 / 23

页数：23

共 66 条

[1]

[Anonymous], 2008, THESIS

[2] Application of Higher Order Spectra to Identify Epileptic EEG [J].

Chua, Kuang Chua ;

Chandran, V. ;

Acharya, U. Rajendra ;

Lim, C. M. .

JOURNAL OF MEDICAL SYSTEMS, 2011, 35 (06) :1563-1571

[3] A better way to define and describe Morlet wavelets for time-frequency analysis [J].

Cohen, Michael X. .

NEUROIMAGE, 2019, 199 :81-86

[4] Higher-order spectra: The bispectrum and trispectrum [J].

Collis, WB ;

White, PR ;

Hammond, JK .

MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 1998, 12 (03) :375-394

[5] Novel detection of local tooth damage in gears by the wavelet bicoherence [J].

Combet, F. ;

Gelman, L. ;

LaPayne, G. .

MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2012, 26 :218-228

[6] Optimal filtering of gear signals for early damage detection based on the spectral kurtosis [J].

Combet, F. ;

Gelman, L. .

MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2009, 23 (03) :652-668

[7] Impact of gear tooth surface quality on detection of local faults [J].

Dadon, I ;

Koren, N. ;

Klein, R. ;

Lipsett, M. G. ;

Bortman, J. .

ENGINEERING FAILURE ANALYSIS, 2020, 108

[8] Bearing Health Monitoring Based on the Orthogonal Empirical Mode Decomposition [J].

Delprete, C. ;

Brusa, E. ;

Rosso, C. ;

Bruzzone, F. .

SHOCK AND VIBRATION, 2020, 2020

[9]

Djeziri M. A., 2020, ARTIF INTELL

[10] Fault detection using bispectral features and one-class classifiers [J].

Du, Xian .

JOURNAL OF PROCESS CONTROL, 2019, 83 :1-10

← 1 2 3 4 5 6 7 →