Asad, B., Raja, H. A., Vaimann, T., Kallaste, A., Pomarnacki, R., Hyunh, V. K.

A current spectrum-based algorithm for fault detection of electrical machines using low-power data acquisition devices

author

Asad, Bilal

Raja, Hadi Ashraf

Vaimann, Toomas

Kallaste, Ants

Pomarnacki, Raimondas

Hyunh, Van Khang

statement of authorship

Bilal Asad, Hadi Ashraf Raja, Toomas Vaimann, Ants Kallaste, Raimondas Pomarnacki and Van Khang Hyunh

source

Electronics

publisher

MDPI

journal volume number month

vol. 12, 7

year of publication

2023

pages

art. 1746

url

https://doi.org/10.3390/electronics12071746

subject term

elektrimasinad

tehisõpe

andmevalmendus

signaalitöötlus

tehisintellekt

lõplike elementide meetod

keyword

electrical machine

machine learning (ML)

data acquisition

finite element method (FEM)

signal processing

Arduino

artificial intelligence (AI)

ISSN

2079-9292

notes

Advanced fault detection, diagnosis and prognosis in a context of renewable power generation

Bibliogr.: 76 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

Asad, B., Raja, H. A., Vaimann, T., Kallaste, A., Pomarnacki, R., Hyunh, V. K. A current spectrum-based algorithm for fault detection of electrical machines using low-power data acquisition devices // Electronics (2023) vol. 12, 7, art. 1746. https://doi.org/10.3390/electronics12071746