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Shannon Entropy Index and a Fuzzy Logic System for the Assessment of Stator Winding Short-Circuit Fa...

Shannon Entropy Index and a Fuzzy Logic System for the Assessment of Stator Winding Short-Circuit Fa...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2548393672

Shannon Entropy Index and a Fuzzy Logic System for the Assessment of Stator Winding Short-Circuit Faults in Induction Motors

About this item

Full title

Shannon Entropy Index and a Fuzzy Logic System for the Assessment of Stator Winding Short-Circuit Faults in Induction Motors

Publisher

Basel: MDPI AG

Journal title

Electronics (Basel), 2019-01, Vol.8 (1), p.90

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

The induction motor (IM) is one of the most important elements in industry. Although IMs are robust machines, they are susceptible to faults, where the stator winding short-circuit fault is one of the most common ones. In this work, the Shannon entropy (SE) index and a fuzzy logic (FL) system are proposed to diagnose short-circuit faults, consideri...

Alternative Titles

Full title

Shannon Entropy Index and a Fuzzy Logic System for the Assessment of Stator Winding Short-Circuit Faults in Induction Motors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2548393672

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2548393672

Other Identifiers

ISSN

2079-9292

E-ISSN

2079-9292

DOI

10.3390/electronics8010090

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