Skip to main navigation
Skip to search
Skip to main content
University of Huddersfield Research Portal Home
Help & FAQ
Home
Profiles
Research units
Research output
Activities
Projects
Press/Media
Datasets
Student theses
Search by expertise, name or affiliation
Novel rolling bearing diagnosis technology using spectral kurtosis and the wavelet higher-order spectra
L. Gelman
, T. H. Patel
Research output
:
Contribution to journal
›
Article
›
peer-review
9
Citations (Scopus)
Overview
Fingerprint
Profiles
(1)
Fingerprint
Dive into the research topics of 'Novel rolling bearing diagnosis technology using spectral kurtosis and the wavelet higher-order spectra'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Engineering & Materials Science
Roller bearings
98%
Vibration measurement
54%
Fatigue damage
46%
Fatigue of materials
30%
Defects
30%
Chemistry
Bearing
100%
Shaft
24%