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
Non-invasive real-time diagnosis of PMSM faults implemented in motor control software for mission critical applications
Download
1-s2.0-S0263224124005694-main.pdf
Date
2024-06-15
Author
Demirel, Aykut
Keysan, Ozan
El-Dalahmeh, Ma'd
Al-Greer, Maher
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
98
views
51
downloads
Cite This
The machine's health should be continuously monitored, or a test should be applied on a regular basis to predict failure before fatal damage is incurred. Unexpected failures, particularly in mission-critical applications, can cause irreversible damage to the system, or even human life. This paper introduces a novel non-intrusive, real-time, online Condition Monitoring (CM), and Fault Diagnosis (FD) system for Permanent Magnet Synchronous Machines (PMSMs). Only the motor drive's built-in sensors, such as current and position sensors, are used to detect three types of faults: inter-turn short circuit, partial demagnetization, and static eccentricity. It encompasses the implementation of algorithms within a motor drive system and the creation of failure mode models. The proposed solution adopts a hardware-free approach, utilizing current/voltage signature analysis for cost-effectiveness. It requires a small memory and short execution time, allowing it to be implemented on a simple motor controller with limited memory and calculation power. The drive system is intended for mission critical applications, therefore, computation load, code size, memory allocation, run-time optimization, etc. are the key focuses for real-time operation. It offers immediate insights into motor's health without interrupting the drive operation. Additionally, it ensures rapid processing with modest computational requirements, making it adaptable for implementation on any PMSM controller. The non-intrusive nature of this diagnostic approach has the potential to enhance safety in systems reliant on PMSM drives. The proposed method has a high detection accuracy of 98%, is computationally efficient and can detect and classify the fault accurately. Simulation and experimental results demonstrate the efficiency of the FD algorithm for online identification and classification of machine faults. Theoretical hypotheses are proven based on experimental data.
Subject Keywords
Condition monitoring
,
Fault detection and diagnosis
,
Non-invasive monitoring
,
PMSM
,
Real time
URI
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85189930749&origin=inward
https://hdl.handle.net/11511/109250
Journal
Measurement: Journal of the International Measurement Confederation
DOI
https://doi.org/10.1016/j.measurement.2024.114684
Collections
Department of Electrical and Electronics Engineering, Article
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
A. Demirel, O. Keysan, M. El-Dalahmeh, and M. Al-Greer, “Non-invasive real-time diagnosis of PMSM faults implemented in motor control software for mission critical applications,”
Measurement: Journal of the International Measurement Confederation
, vol. 232, pp. 0–0, 2024, Accessed: 00, 2024. [Online]. Available: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85189930749&origin=inward.