Cited by 95Machine Fault Diagnosis TechniquesElectric Motor Design and AnalysisSensorless Control of Electric Motors

The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.

Demagnetization Fault Diagnosis in Surface Mounted Permanent Magnet Synchronous Motors

Ebrahimi, Bashir Mahdi, Faiz, Jawad·2013·IEEE Transactions on Magnetics

Abstract

In this paper, a novel method is proposed to detect demagnetization fault in surface mounted permanent magnet synchronous motors (SMPMSMs). Hence, a theoretical analysis is presented for feature extraction and pattern recognition via torque analysis. In this analysis, impacts of the saturation profile, stator slots and the fault severity are taken into account. So, using torque spectra, an efficient index is introduced for demagnetization fault diagnosis in SMPMSMs. Based on the extracted features and the recognized pattern, time delay embedding (TDE) approach as a competent data mining technique is utilized to process the developed torque. Then, a criterion function is proposed to detect demagnetization fault. Furthermore, this criterion is used to estimate fault severity and determine demagnetization percentage. The two-dimensional (2-D) time stepping finite element method (TSFEM) is employed to model the SMPMSM under different demagnetization levels. The 3-D TSFEM is used to prove the theoretical and 2-D TSFEM results.

Overview

Integrity signals

Registry

Crossref · 10.1109/tmag.2012.2217978

Cites

24 of 24 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • The TDE method has significant limitations because different failures can induce the same characteristic frequencies, which significantly impedes detection and distinguishing of failures.

    “They result from the fact that in the case of current (torque) signal analysis methods, different failures can induce the same characteristic frequencies, which significantly impedes the detection and distinguishing of failures.”
  • The TDE method does not require additional equipment and is non-invasive.

    “Although this method does not require any additional equipment and is non-invasive (motor torque is estimated on the basis of current measurement and flux estimation in the control system), it has significant limitations.”

Citations

Cites

Flagged first, then by citations

Research works printed but not linked: 1

  1. tipler, 1982, Physics, 1

Cited by

Sorted by citations

Metadata

Authors
Ebrahimi, B. M., & Faiz, J.
Affiliations
University of Tehran (IR)
Venue
IEEE Transactions on Magnetics
Published
2013-03
Volume
49
Issue
3
Pages
1185-1192
ISSN
  • 0018-9464 (ISSN-L)
  • 1941-0069
OpenAlex
W2017484729
Cited by
95
References
24
Citations by year
2026: 3 · 2025: 8 · 2024: 10 · 2023: 12 · 2022: 11 · 2021: 9 · 2020: 2 · 2019: 6 · 2018: 8 · 2017: 8 · 2016: 5 · 2015: 11 · 2014: 1 · 2013: 1
FWCI
6.03
Type
journal article
Language
en
Open access
closed
Locations
IEEE Transactions on Magnetics (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
surface-mounted permanent magnet synchronous motor, time-delay embedding, fault severity estimation, stator slots, criterion function, time-stepping finite element method

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review