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Empirical Mode Decomposition and Neural Networks on FPGA for Fault Diagnosis in Induction Motors

Empirical Mode Decomposition and Neural Networks on FPGA for Fault Diagnosis in Induction Motors

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_582afdace9354046bdd9fe28ebc8cd4d

Empirical Mode Decomposition and Neural Networks on FPGA for Fault Diagnosis in Induction Motors

About this item

Full title

Empirical Mode Decomposition and Neural Networks on FPGA for Fault Diagnosis in Induction Motors

Publisher

Cairo, Egypt: Hindawi Publishing Corporation

Journal title

TheScientificWorld, 2014-01, Vol.2014 (2014), p.1-17

Language

English

Formats

Publication information

Publisher

Cairo, Egypt: Hindawi Publishing Corporation

More information

Scope and Contents

Contents

Nowadays, many industrial applications require online systems that combine several processing techniques in order to offer solutions to complex problems as the case of detection and classification of multiple faults in induction motors. In this work, a novel digital structure to implement the empirical mode decomposition (EMD) for processing nonsta...

Alternative Titles

Full title

Empirical Mode Decomposition and Neural Networks on FPGA for Fault Diagnosis in Induction Motors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_582afdace9354046bdd9fe28ebc8cd4d

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_582afdace9354046bdd9fe28ebc8cd4d

Other Identifiers

ISSN

2356-6140,1537-744X

E-ISSN

1537-744X

DOI

10.1155/2014/908140

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