Cited by 29Machine Fault Diagnosis TechniquesElectric Motor Design and AnalysisSensorless Control of Electric Motors

The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.

Stator short circuits detection in PMSM by means of Hilbert-Huang transform and energy calculation

Urresty, J., Riba, J., Romeral, L., Rosero, J., Serna, J.·2009·2009 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives

Abstract

This paper presents and analyzed short circuit failures for permanent magnet synchronous motor (PMSM). The study includes stated state and dynamic condition for experimental test. The stator current is analyzed by means of Hilbert-Huang transform (HHT) and energy spectrum.

Overview

Integrity signals

Registry

Crossref · 10.1109/demped.2009.5292789

Cites

16 of 16 references verified0 citation errors · 0 not checkable

Statistics

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Verification

Claims the paper makes

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Claims other papers make about this one

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  • HHT is well suited for stator winding fault detection because it is unaffected by transient conditions, which introduce the possibility of false alarms.

    “In this work, it is also stated that HHT is well suited for stator winding fault detection because it is unaffected by transient conditions, which introduce the possibility of false alarms.”

Citations

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Research works printed but not linked: 1

  1. kostenko, 1976, Electrical Machines Moscow MIR

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Metadata

Authors
Urresty, J., Riba, J., Romeral, L., Rosero, J., & Serna, J.
Affiliations
Universitat Politècnica de Catalunya (ES)
Venue
2009 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives
Publisher
IEEE
Published
2009-08
Pages
1-7
OpenAlex
W1967064506
Cited by
29
References
16
Citations by year
2024: 5 · 2023: 5 · 2022: 4 · 2021: 5 · 2020: 1 · 2019: 1 · 2018: 1 · 2016: 1 · 2014: 2 · 2012: 1
FWCI
2.23
Type
conference paper
Language
en
Open access
closed
Locations
IEEE International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED) (publishedVersion)
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, Hilbert-Huang transform, energy spectrum, fault detection, stator current analysis, motor fault diagnosis

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