JIEIE
Journal of the Korean Institute of Illuminating
and Electrical Installation Engineers
KIIEE
Contact
Open Access
Monthly
ISSN : 1229-4691 (Print)
ISSN : 2287-5034 (Online)
http://journal.auric.kr/jieie
Mobile QR Code
Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
ISO Journal Title
J Korean Inst. IIIum. Electr. Install. Eng.
Online Submission
Main Menu
Main Menu
About Journal
Journal Archive
Aims and scope
Editorial board
Instructions to authors
Research Ethics Regulation
Contact info
Online-Submission
Journal Search
Home
Archive
2023-10
(Vol.37 No.5)
10.5207/JIEIE.2023.37.5.070
Journal XML
XML
PDF
INFO
REF
References
1
C. W. Park, et al., “Development of smart EOCR system technology with AI-based fault prediction and improved power quality function for MCC,” Progress Report, Ministry of SMEs and Startups, pp. 1-42, 2022.
2
J. C. Seo, “Analysis of Vibration and Current Signal for Fault Diagnosis of Induction Motors,” Master’s Thesis, Sunchon National Uiversity, pp. 1-45, 2002.
3
Y. J. Go, “A Study on Electrical Faults Verification and Diagnosis of Three-phase Induction motor,” Ph.D.’s Thesis, Chonnam National University, pp. 1-165, 2016.
4
J. H. Han, K. H. Choi, and J. H. Song, “Detection of induction motor fault using DC-link current analysis,” 2016 KIIEE Spring Conference, p. 195, 2016.
5
J. H. Han, D. J. Choi, S. U. Park, and S. K. Hong, “DT-CNN based motor failure prediction considering outlier data,” Journal of Institute of Control, Robotics and System, vol. 26, no. 11, pp. 932-939, 2020.
6
S. W. Hong, W. S. Kim, H. C. Lee, and J. H. Lee, “EOCR monitoring system APP based on WI-FI communication,” 2021 KIEE Summer Conference, p. 197, 2021.
7
D. K. Kwak, et al., “A study on the circuit topology design for the open-phase detection of 3-phase motor control panel,” 2021 Power Electronics Annual Conference, pp. 754-756, 2021.
8
K. D. Kim and Y. I. Kim, “Predictive maintenance and fault diagnosis of three-phase induction motor using MCSA(Motor Current Signature Analysis),” Korean Journal of Air-Conditioning and Refrigeration Engineering, vol. 33, no. 12, pp. 656-669, 2021.
9
A. Bonci, S. Longhi, G. Nabissi, and F. Verdini, “Predictive maintenance system using motor current signal analysis for industrial robot,” 2019 24th IEEE International Conference on Emerging Technologies and Factory Automation, pp. 1453-1456, 2019.
10
K. C. Lee, et al., “Improving an IoT-based motor health predictive maintenance system through edge-cloud computing,” 2021 IEEE International Conference on Internet of Things and Intelligence Systems, pp. 142-148, 2021.
11
E. Babu, et al., “Predictive analysis of induction motor using current, vibration and acoustic signals,” 2022 2nd International Conference on Power Electronics & IoT Applications in Renewable Energy and Its Control, pp. 1-7, 2022.
12
Z. Qin, et al., “Pump fault detection method for vanadium redox flow batteries without flow rate sensors,” 2022 IEEE Sustainable Power and Energy Conference, pp. 1-5, 2022.
13
P. Zitha and B. A. Thango, “On the study of induction motor fault identification using support vector machine algorithms,” 2023 SAUPEC Conference, pp. 1-5, 2023.