The application of advanced signal processing techniques to induction motor bearing condition diagnosis

DOI10.1023/A:1022806705177zbMath1027.74506OpenAlexW131585008MaRDI QIDQ1415651

D. Massart

Publication date: 9 December 2003

Published in: Meccanica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1023/a:1022806705177

zbMATH Keywords

Artificial neural networksBearing condition monitoringBispectral analysisSingular value decomposition and wavelet analysis

Mathematics Subject Classification ID

Vibrations in dynamical problems in solid mechanics (74H45) Experimental work for problems pertaining to mechanics of deformable solids (74-05)

Related Items (3)

Fast orthogonal search (FOS) versus fast Fourier transform (FFT) as spectral model estimations techniques applied for structural health monitoring ({SHM}) ⋮ Fault detection of DC electric motors using the bispectral analysis ⋮ Detection of rolling bearing defects using discrete wavelet analysis

Uses Software

• Neural Network Toolbox

This page was built for publication: The application of advanced signal processing techniques to induction motor bearing condition diagnosis