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 detection of local tooth damage in gears by the wavelet bicoherence
F. Combet,
L. Gelman
, G. LaPayne
Research output
:
Contribution to journal
›
Article
›
peer-review
52
Citations (Scopus)
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Novel detection of local tooth damage in gears by the wavelet bicoherence'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Tooth Damage
100%
Wavelet Bicoherence
100%
Novelty Detection
100%
Wavelet Transform
42%
Diagnostic Features
28%
Detection Efficiency
28%
Bicoherence
28%
Early Detection
14%
Detection Method
14%
Feature-based
14%
Vibration Measurement
14%
Localized Faults
14%
Gearbox System
14%
Tooth Fault
14%
Non-stationary Signal
14%
Fourier
14%
Experimental Performance
14%
New Diagnostics
14%
Fisher Criterion
14%
Nonlinear Phenomena
14%
Feature Measurement
14%
Angular Position
14%
Phase Coupling
14%
Gear Wheel
14%
Conventional Detection
14%
Early Damage Detection
14%
Specific Frequency
14%
Local Damage Detection
14%
Spur Gearbox
14%
Engineering
Damage Detection
100%
Dental Trauma
100%
Early Detection
50%
Test Rig
50%
Vibration Measurement
50%
Gearbox
50%
Nonlinear Phenomenon
50%
Angular Position
50%
Gear Wheel
50%
Computer Science
Wavelet Transform
100%
Detection Method
33%
Early Detection
33%
Angular Position
33%
Nonstationary Signal
33%
Chemical Engineering
Vibration Measurement
100%