Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Electric Motors Exposed to Ambient Stresses During Industrial Operations: Partial Discharge Diagnostics
Date
2026-01-01
Author
Hassan, Waqar
Hussain, Ghulam Amjad
Firuzi, Keyvan
Ariffin, Azrul Mohd
Kay, John A.
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
39
views
0
downloads
Cite This
The electric motor (EM) is one of the most significant electrical components used in any industrial environment. For a reliable operation of EM, it is essential to assess the health state of the stator insulation. Partial discharge (PD) diagnostics stand out as a reliable approach for evaluating the health of insulation material. During industrial operations, EMs are exposed to high levels of contamination under varying temperatures and relative humidity (RH), resulting in ambient stresses. The ambient stresses significantly contribute to the degradation of stator insulation, making PD diagnostics challenging. In this article, the effect of contamination under varying temperature and RH in electrical EM insulation is investigated through PD diagnostics. The variations in PD intensity is investigated under varying environmental conditions. PD measurements were carried out within an artificial industrial environment inside a climate-controlled chamber. Various PD features were extracted to study probability distribution functions to further investigate the PD severity at various levels of contamination, under varying temperatures and RH. Based on the experimental results, it was revealed that PD activity within the EM insulation was significantly affected by temperature and RH under varying contamination conditions. The proposed methodology is believed to be helpful in reliability assessments for a wide range of industrial applications.
URI
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=105040397512&origin=inward
https://hdl.handle.net/11511/119660
Journal
IEEE Industry Applications Magazine
DOI
https://doi.org/10.1109/mias.2026.3682225
Collections
Department of Electrical and Electronics Engineering, Article
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
W. Hassan, G. A. Hussain, K. Firuzi, A. M. Ariffin, and J. A. Kay, “Electric Motors Exposed to Ambient Stresses During Industrial Operations: Partial Discharge Diagnostics,”
IEEE Industry Applications Magazine
, pp. 0–0, 2026, Accessed: 00, 2026. [Online]. Available: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=105040397512&origin=inward.