Thermographic Fault Diagnosis of Ventilation in BLDC Motors.

BLDC motor fault diagnosis image processing infrared thermographic

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
30 Oct 2021
Historique:
received: 18 09 2021
revised: 27 10 2021
accepted: 28 10 2021
entrez: 13 11 2021
pubmed: 14 11 2021
medline: 17 11 2021
Statut: epublish

Résumé

Thermographic fault diagnosis of ventilation in BLDC (brushless DC) motors is described. The following states of BLDC motors were analyzed: a healthy BLDC motor running at 1450 rpm, a healthy BLDC motor at 2100 rpm, blocked ventilation of the BLDC motor at 1450 rpm, blocked ventilation of the BLDC motor at 2100 rpm, healthy clipper, and blocked ventilation of the clipper. A feature extraction method called the Common Part of Arithmetic Mean of Thermographic Images (CPoAMoTI) was proposed. Test thermal images were analyzed successfully. The developed method, CPoAMoTI is useful for industry and society. Electric cars, trains, fans, clippers, computers, cordless power tools can be diagnosed using the developed method.

Identifiants

pubmed: 34770550
pii: s21217245
doi: 10.3390/s21217245
pmc: PMC8587833
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : AGH University of Science and Technology
ID : 16.16.120.773

Références

Sensors (Basel). 2020 Feb 07;20(3):
pubmed: 32046037
Sensors (Basel). 2021 Sep 03;21(17):
pubmed: 34502831

Auteurs

Adam Glowacz (A)

Department of Automatic Control and Robotics, Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, AGH University of Science and Technology, aleja Adama Mickiewicza 30, 30-059 Kraków, Poland.

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