The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Dynamic Eccentricity and Demagnetized Rotor Magnet Detection in Trapezoidal Flux (Brushless DC) Motors Operating Under Different Load Conditions
Abstract
Brushless dc (BLDC) machines are finding increasing use in applications that demand high and rugged performance. Automotive and aerospace are some such areas where these machines may be used. In this context, condition monitoring of these machines would provide added value. This paper investigates the effect of several potential rotor faults on the current spectrum of BLDC motors with a view to develop an effective condition-monitoring scheme. The effect of load unbalances, misalignments, and varying load torques on the diagnosis of such machines is investigated. A method to estimate the strength of the rotor magnets is also provided. Simulation and experimental results are presented to substantiate that current signature analysis could be a viable tool for diagnosing the condition of BLDC machines.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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 visibility of the demagnetization symptom is strongly dependent on the configuration of the winding, and sometimes even in the case of demagnetization there are no harmonics or subharmonics other than those that occur in a healthy motor due to natural existing asymmetries.
“However, the visibility of this symptom is strongly dependent on the configuration of the winding, and sometimes even in the case of demagnetization there are no harmonics or subharmonics other than those that occur in a healthy motor due to the natural existing asymmetries of the machine [19], [29], [84], [85].”
From Fault Diagnosis and Fault-Tolerant Control of PMSM Drives–State of the Art and Future Challenges (2022) · cites this paper as [84]
Citations
Cites
Condition Monitoring and Fault Diagnosis of Electrical Motors—A Review
Nandi, S., Toliyat, H. A., & Li, X. (2005) · IEEE Transactions on Energy Conversion · doi:10.1109/tec.2005.847955 · Cited by 2,392
Condition monitoring and fault diagnosis of electrical machines-a review
Nandi, S., & Toliyat, H. A. (2003) · doi:10.1109/ias.1999.799956 · Cited by 532
Vibration and current monitoring for detecting airgap eccentricity in large induction motors
Cameron, J. R., Thomson, W. T., & Dow, A. B. (1986) · IEE Proceedings B Electric Power Applications · doi:10.1049/ip-b.1986.0022 · Cited by 515
Dorrell, D. G., Thomson, W. T., & Roach, S. (1997) · IEEE Transactions on Industry Applications · doi:10.1109/28.567073 · Cited by 449
Dorrell, D. G., Thomson, W. T., & Roach, S. (2002) · Conference record · doi:10.1109/ias.1995.530349 · Cited by 367
Methods of Motor Current Signature Analysis
Kliman, G. B., & Stein, J. (1992) · Electric Machines & Power Systems · doi:10.1080/07313569208909609 · Cited by 331
A novel direct back EMF detection for sensorless brushless DC (BLDC) motor drives
Shao, J., Nolan, D., & Hopkins, T. (2003) · IEEE Applied Power Electronics Conference and Exposition (APEC) · doi:10.1109/apec.2002.989224 · Cited by 158
Detecting rotor faults in permanent magnet synchronous machines
le Roux, W., Harley, R. G., & Habetler, T. G. (2003) · IEEE International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED) · doi:10.1109/demped.2003.1234573 · Cited by 48
Self-citationFurther improvement of direct back EMF detection for sensorless brushless DC (BLDC) motor drives
Shao, J., & Nolan, D. (2005) · IEEE Applied Power Electronics Conference and Exposition (APEC) · doi:10.1109/apec.2005.1453098 · Cited by 28
Position control of a brushless DC motor without velocity measurements
Hu, J., Dawson, D. M., & Anderson, K. (1995) · IEE Proceedings - Electric Power Applications · doi:10.1049/ip-epa:19951597 · Cited by 16
On-line current-based condition monitoring of three-phase induction machines
Schoen, R. R. (1994) · SMARTech Repository (Georgia Institute of Technology) · Cited by 12
Double frequency test for detecting faults in induction machines
Jornet, A., Cusidó, J., Espinosa, A. G., et al. (2005) · doi:10.1109/iecon.2005.1569129 · Cited by 4
Flagged first, then by citations
Research works printed but not linked: 2
- cameron, 1987, on-line current monitoring of induction motorsa method for calculating the level of airgap eccentricity, Proc IEEE Int Electr Mach Drives Conf, 173
- yedamale, 2007, Brushless DC (BLDC) Motor Fundamentals
Cited by
Sorted by citations
Da, Y., Shi, X., & Krishnamurthy, M. (2013) · IEEE Transactions on Power Electronics · doi:10.1109/tpel.2012.2227808 · Cited by 303
Fault Diagnosis and Fault-Tolerant Control of PMSM Drives–State of the Art and Future Challenges
Orlowska-Kowalska, T., Wolkiewicz, M., Pietrzak, P., Skowron, M., Ewert, P., Tarchala, G., Krzysztofiak, M., & Kowalski, C. T. (2022) · IEEE Access · doi:10.1109/access.2022.3180153 · Cited by 328
“However, the visibility of this symptom is strongly dependent on the configuration of the winding, and sometimes even in the case of demagnetization there are no harmonics or subharmonics other than those that occur in a healthy motor due to the natural existing asymmetries of the machine [19], [29], [84], [85].”
BackgroundFaiz, J., & Mazaheri-Tehrani, E. (2017) · IEEE Transactions on Industry Applications · doi:10.1109/tia.2016.2608950 · Cited by 207
Choi, S., Haque, M. S., Tarek, M. T. B., Mulpuri, V., Duan, Y., Das, S., Garg, V., Ionel, D. M., Masrur, M. A., Mirafzal, B., et al. (2018) · IEEE Transactions on Transportation Electrification · doi:10.1109/tte.2018.2819627 · Cited by 192
Urresty, J.-C., Riba, J.-R., Delgado, M., & Romeral, L. (2012) · IEEE Transactions on Energy Conversion · doi:10.1109/tec.2011.2176127 · Cited by 181
Haddad, R. Z., & Strangas, E. G. (2016) · IEEE Transactions on Energy Conversion · doi:10.1109/tec.2016.2558183 · Cited by 158
A Back-emf Based Method to Detect Magnet Failures in PMSMs
Urresty, J.-C., Riba, J.-R., & Romeral, L. (2013) · IEEE Transactions on Magnetics · doi:10.1109/tmag.2012.2207731 · Cited by 151
Demagnetization Fault Indexes in Permanent Magnet Synchronous Motors—An Overview
Faiz, J., & Nejadi-Koti, H. (2016) · IEEE Transactions on Magnetics · doi:10.1109/tmag.2015.2480379 · Cited by 119
Park, Y., Fernandez, D., Lee, S. B., Hyun, D., Jeong, M., Kommuri, S. K., Cho, C., Diaz Reigosa, D., & Briz, F. (2019) · IEEE Transactions on Industry Applications · doi:10.1109/tia.2018.2886772 · Cited by 116
Da, Y., Shi, X., & Krishnamurthy, M. (2011) · 2011 IEEE Vehicle Power and Propulsion Conference · doi:10.1109/vppc.2011.6043248 · Cited by 96
Moosavi, S. S., Djerdir, A., Amirat, Y. A., & Khaburi, D. A. (2015) · Journal of Magnetism and Magnetic Materials · doi:10.1016/j.jmmm.2015.04.062 · Cited by 96
Urresty, J.-C., Riba, J.-R., & Romeral, L. (2013) · IEEE Transactions on Magnetics · doi:10.1109/tmag.2013.2247046 · Cited by 73
Quality Assurance Testing for Magnetization Quality Assessment of BLDC Motors Used in Compressors
Lee, K.-W., Hong, J., Lee, S. B., & Lee, S. (2010) · IEEE Transactions on Industry Applications · doi:10.1109/tia.2010.2075732 · Cited by 27
Detection of magnet demagnetization in five-phase surface-mounted permanent magnet generators
Casadei, D., Filippetti, F., Mengoni, M., Gritli, Y., Serra, G., Tani, A., & Zarri, L. (2012) · 2012 3rd IEEE International Symposium on Power Electronics for Distributed Generation Systems (PEDG) · doi:10.1109/pedg.2012.6254099 · Cited by 22
A Novel Fault Diagnosis Technique for IPMSM Using Voltage Angle
Ullah, Z., Lee, S.-T., & Hur, J. (2018) · 2018 IEEE Energy Conversion Congress and Exposition (ECCE) · doi:10.1109/ecce.2018.8557375 · Cited by 13
Demagnetisation fault detection in PMSM using zero sequence current components
Ding, S., Hang, J., Li, H., & Wang, Q. (2017) · Electronics Letters · doi:10.1049/el.2016.2600 · Cited by 6
Metadata
- Authors
- Rajagopalan, S., Roux, W. L., Habetler, T. G., & Harley, R. G.
- Affiliations
- Georgia Institute of Technology (US)
- University of Pretoria (ZA)
- ORCID
- Habetler, Thomas G.
- Venue
- IEEE Transactions on Power Electronics
- Published
- 2007-09
- Volume
- 22
- Issue
- 5
- Pages
- 2061-2069
- ISSN
- 0885-8993 (ISSN-L)
- OpenAlex
- W2130946241
- Cited by
- 164
- References
- 12
- Citations by year
- 2026: 3 · 2025: 8 · 2024: 9 · 2023: 11 · 2022: 8 · 2021: 11 · 2020: 9 · 2019: 10 · 2018: 12 · 2017: 7 · 2016: 13 · 2015: 8 · 2014: 8 · 2013: 11 · 2012: 11
- FWCI
- 8.65
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Transactions on Power Electronics (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
- brushless DC motor, condition monitoring, rotor fault diagnosis, dynamic eccentricity, current signature analysis, load unbalance, rotor misalignment, load torque variation
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