Fault Diagnosis in a Squirrel-Cage Induction Motor Using Thermal Imaging

Uproszczony widok
dc.contributor.authorPiechocki, Mateusz
dc.contributor.authorKraft, Marek
dc.contributor.authorPajchrowski, Tomasz
dc.date.accessioned2023-09-21T07:18:47Z
dc.date.available2023-09-21T07:18:47Z
dc.date.issued2023
dc.description.abstractFault diagnosis is a vivid topic in industrial applications or intelligent building solutions. One of the well-established techniques involves the measurement and analysis of current signals. However, this method has several significant drawbacks, such as the inability to inspect during machinery operation or the lack of precise information on the malfunction location. This article proposes a non-invasive method for squirrel-cage induction motor’s state classification and fault diagnosis. The approach is based on thermal image analysis that utilizes a compact convolution neural network. In addition, the gathered and annotated image set, which consists of thermal images with 640 x 512 pixels resolution, is presented.en_EN
dc.identifier.citationPiechocki M., Kraft M., Pajchrowski T., Fault Diagnosis in a Squirrel-Cage Induction Motor Using Thermal Imaging. W: Progress in Polish Artificial Intelligence Research 4, Wojciechowski A. (Ed.), Lipiński P. (Ed.)., Seria: Monografie Politechniki Łódzkiej Nr. 2437, Wydawnictwo Politechniki Łódzkiej, Łódź 2023, s. 37-42, ISBN 978-83-66741-92-8, doi: 10.34658/9788366741928.4.
dc.identifier.doi10.34658/9788366741928.4
dc.identifier.isbn978-83-66741-92-8
dc.identifier.urihttp://hdl.handle.net/11652/4779
dc.identifier.urihttps://doi.org/10.34658/9788366741928.4
dc.language.isoenen_EN
dc.page.numbers. 37-42
dc.publisherWydawnictwo Politechniki Łódzkiejpl_PL
dc.publisherLodz University of Technology Pressen_EN
dc.relation.ispartofWojciechowski A. (Ed.), Lipiński P. (Ed.)., Progress in Polish Artificial Intelligence Research 4, Seria: Monografie Politechniki Łódzkiej Nr. 2437, Wydawnictwo Politechniki Łódzkiej, Łódź 2023, ISBN 978-83-66741-92-8, doi: 10.34658/9788366741928.
dc.rightsDla wszystkich w zakresie dozwolonego użytkupl_PL
dc.rightsFair use conditionen_EN
dc.rights.licenseLicencja PŁpl_PL
dc.rights.licenseLUT Licenseen_EN
dc.subjectthermal imagingen_EN
dc.subjectfault diagnosisen_EN
dc.subjectsquirrel-cage induction motoren_EN
dc.subjectdeep learningen_EN
dc.subjectinterpretabilityen_EN
dc.subjecttermowizjapl_PL
dc.subjectdiagnostyka usterekpl_PL
dc.subjectsilnik indukcyjny klatkowypl_PL
dc.subjectgłębokie uczenie siępl_PL
dc.subjectinterpretowalnośćpl_PL
dc.titleFault Diagnosis in a Squirrel-Cage Induction Motor Using Thermal Imagingen_EN
dc.typeRozdział - monografiapl_PL
dc.typeChapter - monographen_EN

Pliki

Oryginalne pliki
Teraz wyświetlane 1 - 1 z 1
Brak miniatury
Nazwa:
4. Fault_diagn_squirrel_Piechocki_Kraft_2023.pdf
Rozmiar:
2.38 MB
Format:
Adobe Portable Document Format
Opis:
Pobierz
Licencja
Teraz wyświetlane 1 - 1 z 1
Brak miniatury
Nazwa:
license.txt
Rozmiar:
1.71 KB
Format:
Item-specific license agreed upon to submission
Opis:
Pobierz

Kolekcje

Rozdziały