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Fault Detection by Means of Hilbert–Huang Transform of the Stator Current in a PMSM With Demagnetization
Open accessAbstract
This paper presents a novel method to diagnose demagnetization in permanent-magnet synchronous motor (PMSM). Simulations have been performed by 2-D finite-element analysis in order to determine the current spectrum and the magnetic flux distribution due to this failure. The diagnostic just based on motor current signature analysis can be confused by eccentricity failure because the harmonic content is the same. Moreover, it can only be applied under stationary conditions. In order to overcome these drawbacks, a novel method is used based upon the Hilbert-Huang transform. It represents time-dependent series in a 2-D time-frequency domain by extracting instantaneous frequency components through an empirical-mode decomposition process. This tool is applied by running the motor under nonstationary conditions of velocity. The experimental results show the reliability and feasibility of the methodology in order to diagnose the demagnetization of a PMSM.
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The HHT algorithm is simple and easy to implement in a system for supervision, fault detection and failure diagnostics.
“Additionally, it was concluded in [111] that the HHT algorithm is simple and easy to implement in a system for supervision, fault detection and failure diagnostics.”
From Fault Diagnosis and Fault-Tolerant Control of PMSM Drives–State of the Art and Future Challenges (2022) · cites this paper as [111]
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References 24 · Cited by 243
Research works printed but not linked: 1
- yan, 2005, transient signal analysis based on hilberthuang transform, Proc IEEE Instrum Meas Technol Conf, 1198
Metadata
- Authors
- Espinosa, A. G., Rosero, J. A., Cusido, J., Romeral, L., & Ortega, J. A.
- Affiliations
- Universitat Politècnica de Catalunya (ES)
- ORCID
- Ortega, Juan Antonio
- Venue
- IEEE Transactions on Energy Conversion
- Published
- 2010-06
- Volume
- 25
- Issue
- 2
- Pages
- 312-318
- ISSN
- 0885-8969 (ISSN-L)
- OpenAlex
- W2133340171
- Cited by
- 243
- References
- 24
- Citations by year
- 2026: 6 · 2025: 19 · 2024: 11 · 2023: 23 · 2022: 19 · 2021: 13 · 2020: 23 · 2019: 14 · 2018: 12 · 2017: 11 · 2016: 16 · 2015: 19 · 2014: 9 · 2013: 20 · 2012: 14
- FWCI
- 25.47
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Locations
- IEEE Transactions on Energy Conversion (publishedVersion)
- UPCommons institutional repository (Universitat Politècnica de Catalunya) (acceptedVersion, cc-by-nc-nd)
- RECERCAT (Consorci de Serveis Universitaris de Catalunya) (acceptedVersion, other-oa)
- LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (submittedVersion, cc-by-nc-nd)
- TECNALIA Publications (Fundación TECNALIA Research & Innovation) (submittedVersion, public-domain)
- Funders
- European Commission
- Ministerio de Ciencia y Tecnología
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Machine Fault Diagnosis Techniques
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Motor Design and Analysis
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Sensorless Control of Electric Motors
- Keywords
- permanent magnet synchronous motor, demagnetization fault, Hilbert-Huang transform, empirical mode decomposition, motor current signature analysis, time-frequency analysis, magnetic flux distribution, fault diagnosis
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