A platform for research: civil engineering, architecture and urbanism
Extracting Gear Fault Features Using Maximal Bispectrum
Extracting Gear Fault Features Using Maximal Bispectrum
Extracting Gear Fault Features Using Maximal Bispectrum
Zhang, G. C. (author) / Chen, J. (author) / Li, F. C. (author) / Li, W. H. (author) / Ostachowicz, W. M. / Dulieu-Barton, J. M. / Holford, K. M. / Krawczuk, M. / Zak, A.
2005-01-01
8 pages
Article (Journal)
English
DDC:
620.11
© Metadata Copyright the British Library Board and other contributors. All rights reserved.
FAULT DIAGNOSIS OF SPIRAL BEVEL GEAR BASED ON LOCAL BISPECTRUM AND CONVOLUTIONAL NEURAL NETWORK (MT)
DOAJ | 2022
|Bispectrum Analysis of Motor Current Signals for Fault Diagnosis of Reciprocating Compressors
British Library Online Contents | 2009
|An Empirical Bispectrum Model for Sea Surface Scattering
Online Contents | 1993
|Gear Fault Classification Using Kernel Discriminant Analysis
British Library Online Contents | 2006
|