Search:
Computing and Library Services - delivering an inspiring information environment

A study of two bispectral features from envelope signals for bearing fault diagnosis

Rehab, Ibrahim, Tiana, Xiange, Hu, Niaoqing, Yan, Tianxiao, Zhang, Ruiliang, Gu, Fengshou and Ball, Andrew (2016) A study of two bispectral features from envelope signals for bearing fault diagnosis. In: IncoME 2016, 30th - 31st August 2016, Manchester Conference Centre, Manchester.

[img]
Preview
PDF - Submitted Version
Download (464kB) | Preview

Abstract

: To accurately detect and diagnose bearing faults, bispectral analysis has received more attention recently because of its unique property of noise reduction and nonlinearity extraction. Particularly this study investigates two typical bispectra: conventional bispectrum (CB) and modulation signal bispectrum (MSB) for suppressing noise influences in envelope signals and hence obtaining more accurate diagnostic features. The first component from the diagonal slice of CB results and that of the subdiagonal slices of MSB results are taken as the diagnostic features considering effective inclusion of information and easy of computations. Simulative and experimental studies show that both MSB and CB features result in good diagnostic performances but MSB may outperform CB slightly in that it shows smaller variance in attaining the feature and more sensitive to weak fault signatures. This merit of MSB may be due to that the MSB feature has more diagnostic information as it is the combination of first three harmonics, whereas the CB feature is combined from just the first two harmonics.

Item Type: Conference or Workshop Item (Paper)
Subjects: T Technology > T Technology (General)
T Technology > TA Engineering (General). Civil engineering (General)
Schools: School of Computing and Engineering
School of Computing and Engineering > Diagnostic Engineering Research Centre
Related URLs:
Depositing User: Elizabeth Boulton
Date Deposited: 05 Sep 2016 08:38
Last Modified: 30 Nov 2016 21:50
URI: http://eprints.hud.ac.uk/id/eprint/29330

Downloads

Downloads per month over past year

Repository Staff Only: item control page

View Item View Item

University of Huddersfield, Queensgate, Huddersfield, HD1 3DH Copyright and Disclaimer All rights reserved ©