Akbar, S., Vaimann, T., Asad, B., Kallaste, A., Sardar, M. U., Kudelina, K.

State-of-the-Art techniques for fault diagnosis in electrical machines: Advancements and future directions

author

Akbar, Siddique

Vaimann, Toomas

Asad, Bilal

Kallaste, Ants

Sardar, Muhammad Usman

Kudelina, Karolina

statement of authorship

Siddique Akbar, Toomas Vaimann, Bilal Asad, Ants Kallaste, Muhammad Usman Sardar and Karolina Kudelina

source

Energies

publisher

MDPI

journal volume number month

Vol. 16, 17

year of publication

2023

pages

Art. 6345

url

https://doi.org/10.3390/en16176345

subject term

elektrimasinad

diagnostika (tehnika)

vead

tehisintellekt

keyword

electrical machines

condition monitoring

fault diagnosis

artificial intelligence (AI)

conventional techniques

ISSN

1996-1073

notes

Special Issue: Novel Approaches to Electrical Machine Fault Diagnosis: Volume II

Bibliogr.: 270 ref

Open Access

Open Access (kuldne)

scientific publication

teaduspublikatsioon

classifier

1.1

Scopus

TTÜ department

elektroenergeetika ja mehhatroonika instituut

language

inglise

Uurimisrühm

Electrical machines research group

Akbar, S., Vaimann, T., Asad, B., Kallaste, A., Sardar, M. U., Kudelina, K. State-of-the-Art techniques for fault diagnosis in electrical machines: Advancements and future directions // Energies (2023) Vol. 16, 17, Art. 6345. https://doi.org/10.3390/en16176345