The application of artificial neural networks to the diagnosis of induction motor bearing condition using Hilbert-based bispectral analysis

Proceedings of the 2010 5th IEEE Conference on Industrial Electronics and Applications, ICIEA 2010

Volumn , Issue , 2010, Pages 1730-1735

  Yang, D M ^a  

^a KAO YUAN UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL NEURAL NETWORK; BEARING CONDITIONS; BI-SPECTRAL ANALYSIS; BISPECTRUM; DIAGNOSTIC SYSTEMS; DIAGONAL SLICES; HILBERT; HILBERT TRANSFORM; MOTOR BEARINGS; MULTI LAYER PERCEPTRON; ROLLING ELEMENT BEARING; VIBRATION SIGNAL; VIBRATION SIGNATURE;

BEARINGS (STRUCTURAL); INDUCTION MOTORS; INDUSTRIAL ELECTRONICS; NEURAL NETWORKS; ROLLING;

VIBRATION ANALYSIS;

EID: 77956049146     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIEA.2010.5515273     Document Type: Conference Paper

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