A fuzzy type-2 fault detection methodology to minimize false alarm rate in induction motor monitoring applications-Reference-Cited by-同舟云学术

A fuzzy type-2 fault detection methodology to minimize false alarm rate in induction motor monitoring applications

Published:2020-08 Issue: Volume:93 Page:106373
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Rocha Erick Melo^ORCID,Junior WalterBarra,Lucas Kevin E.^ORCID,da Costa Júnior Carlos Tavares,de Carvalho Júnior José Gracildo^ORCID,de Medeiros Renan Landau Paiva^ORCID,Nogueira Fabrício Gonzalez^ORCID

Funder

CAPES/Bazil

Publisher

Elsevier BV

Subject

Software

Reference32 articles.

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2. Fault-Diagnosis Systems: An Introduction from Fault Detection to Fault Tolerance;Isermann,2006

3. Issues of Fault Diagnosis for Dynamic Systems;Patton,2000

4. Diagnosis and Fault- Tolerant Control;Blanke,2006

5. Stability-based system for bearing fault early detection;Diaz;Expert Syst. Appl.,2017

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