The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.
Change‐detection algorithm for short‐circuit fault detection in closed‐loop AC drives
Open accessAbstract
This study deals with an on‐line method for turn‐to‐turn short‐circuit fault detection in low‐voltage permanent‐magnet synchronous machine drives. Owing to the closed‐loop control, the fault effects are reflected in the voltage. Therefore an appropriate diagnostic index is proposed, which is derived from the positive‐ and negative‐sequences of the voltage references. These sequences are obtained in the time domain via adaptive filters, which require only a few calculations. To increase the sensitivity to the fault, the algorithm is only applied to a part of the voltage references, that is, the output of the proportional–integral controllers. Furthermore, the cumulative‐sum algorithm is introduced to cope with changes of small magnitudes. This algorithm allows a change of a fault index to be detected and can be used as a decision system. The resulting fault detection scheme is computationally cheap and can be embedded in the control unit. Simulations and experimental results validate the proposed method in steady state and the performances under non‐stationary operating conditions are also investigated.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
In [179], the complexity of the solution is increased by the use of a statistical cumulative-sum algorithm to determine whether the damage is present.
“However, the complexity of the solution is increased with the use of a statistical cumulative-sum algorithm to determine whether the damage is present or not.”
From Fault Diagnosis and Fault-Tolerant Control of PMSM Drives–State of the Art and Future Challenges (2022) · cites this paper as [179]
Section 3.3 says the paper uses a statistical CUSUM algorithm to decide whether a fault is present. The claim that this increases the solution’s complexity is not established by our copy: Section 3.5 instead describes low computational cost, while listing the operations CUSUM requires. The supplied passages have no page numbers. (LLM, conf=0.86)
Experimental — accuracy not yet measuredPI controller outputs have been used as diagnostic signals when decoupling signals are applied in control paths or when the control structure is extended with additional PI regulators to compensate for damage.
“-PI controller outputs in the case that the decoupling signals are applied in the control paths, e.g.[179] or when the control structure is extended with some additional PI regulators to compensate for the damage [180];”
From Fault Diagnosis and Fault-Tolerant Control of PMSM Drives–State of the Art and Future Challenges (2022) · cites this paper as [179]
In [179], voltage components are used to detect ITSC faults, and the diagnostic signals are the outputs of the PI controllers because decoupling of BEMFs is included in the control paths.
“The voltage components are used to detect the ITSC faults in [179] as well.However, the diagnostic signals are the outputs of the PI controllers, since the decoupling of BEMFs is included in the control paths.”
From Fault Diagnosis and Fault-Tolerant Control of PMSM Drives–State of the Art and Future Challenges (2022) · cites this paper as [179]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
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
A review of induction motors signature analysis as a medium for faults detection
Benbouzid, M. (2000) · IEEE Transactions on Industrial Electronics · doi:10.1109/41.873206 · Cited by 1,610
Advances in Diagnostic Techniques for Induction Machines
Bellini, A., Filippetti, F., Tassoni, C., & Capolino, G.-A. (2008) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2008.2007527 · Cited by 1,140
Rodríguez, P., Luna, Á., Candela, J. I., et al. (2010) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2010.2042420 · Cited by 1,117
Review of condition monitoring of rotating electrical machines
Tavner, P. J. (2008) · IET Electric Power Applications · doi:10.1049/iet-epa:20070280 · Cited by 531
Grubic, S., Aller, J. M., Lü, B., & Habetler, T. G. (2008) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2008.2004665 · Cited by 492
The detection of inter-turn short circuits in the stator windings of operating motors
Joksimović, G., & Penman, J. (2000) · IEEE Transactions on Industrial Electronics · doi:10.1109/41.873216 · Cited by 473
A Survey of Methods for Detection of Stator-Related Faults in Induction Machines
Tallam, R. M., Lee, S. B., Stone, G. C., et al. (2007) · IEEE Transactions on Industry Applications · doi:10.1109/tia.2007.900448 · Cited by 303
A new approach to on-line turn fault detection in AC motors
Kliman, G. B., Premerlani, W. J., Koegl, R. A., & Hoeweler, D. (2002) · IEEE Industry Applications Society Annual Meeting (IAS) · doi:10.1109/ias.1996.557113 · Cited by 303
Modeling of Surface-Mounted Permanent Magnet Synchronous Motors With Stator Winding Interturn Faults
Romeral, L., Urresty, J.-C., Riba, J., & Espinosa, A. G. (2010) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2010.2062480 · Cited by 285
Torque-maximizing field-weakening control: design, analysis, and parameter selection
Harnefors, L., Pietiläinen, K., & Gertmar, L. (2001) · IEEE Transactions on Industrial Electronics · doi:10.1109/41.904576 · Cited by 248
García, J. R., Romeral, L., Ortega, J. A., & Rosero, E. (2009) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2008.2011580 · Cited by 214
Fault-tolerant permanent magnet machines: a review
EL-Refaie, A. M. (2011) · IET Electric Power Applications · doi:10.1049/iet-epa.2009.0117 · Cited by 208
Kim, K.-H. (2011) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2010.2060463 · Cited by 184
Faulty Operations of a PM Fractional-Slot Machine With a Dual Three-Phase Winding
Barcaro, M., Bianchi, N., & Magnussen, F. (2010) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2010.2087300 · Cited by 170
Stator winding turn-fault detection for closed-loop induction motor drives
Tallam, R. M., Habetler, T. G., & Harley, R. G. (2003) · Conference record · doi:10.1109/ias.2002.1043741 · Cited by 168
High Frequency Resolution Techniques for Rotor Fault Detection of Induction Machines
Bellini, A., Yazidi, A., Filippetti, F., Rossi, C., & Capolino, G. (2008) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2008.2007004 · Cited by 163
Stator winding turn-fault detection for closed-loop induction motor drives
Tallam, R. M., Habetler, T. G., & Harley, R. G. (2003) · IEEE Transactions on Industry Applications · doi:10.1109/tia.2003.811784 · Cited by 163
Nonstationary Motor Fault Detection Using Recent Quadratic Time–Frequency Representations
Rajagopalan, S., Restrepo, J. A., Aller, J. M., Habetler, T. G., & Harley, R. G. (2008) · IEEE Transactions on Industry Applications · doi:10.1109/tia.2008.921431 · Cited by 161
Doubly Fed Induction Machines Diagnosis Based on Signature Analysis of Rotor Modulating Signals
Stefani, A., Yazidi, A., Rossi, C., et al. (2008) · IEEE Transactions on Industry Applications · doi:10.1109/tia.2008.2006322 · Cited by 146
Low Order PWM Inverter Harmonics Contributions to the Inverter-Fed Induction Machine Fault Diagnosis
Akin, B., Orguner, U., Toliyat, H. A., & Rayner, M. (2008) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2007.911954 · Cited by 142
Experimental Tests of Dual Three-Phase Induction Motor Under Faulty Operating Condition
Alberti, L., & Bianchi, N. (2011) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2011.2171175 · Cited by 136
Analytical Prediction of the Short-Circuit Current in Fault-Tolerant Permanent-Magnet Machines
Sun, Z., Wang, J., Howe, D., & Jewell, G. W. (2008) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2008.2005019 · Cited by 121
Safety-critical design of electromechanical actuation systems in commercial aircraft
Bennett, J. W., Mecrow, B. C., Atkinson, D. J., et al. (2011) · IET Electric Power Applications · doi:10.1049/iet-epa.2009.0304 · Cited by 108
Hong, J., Lee, S. B., Kral, C., & Haumer, A. (2011) · IEEE Transactions on Power Electronics · doi:10.1109/tpel.2011.2176145 · Cited by 103
Online condition monitoring of induction motors
Trutt, F. C., Sottile, J., & Kohler, J. L. (2002) · IEEE Transactions on Industry Applications · doi:10.1109/tia.2002.804758 · Cited by 90
State-of-the-Art and Future Directions
(2024) · Journal of Current Trends in Computer Science Research · doi:10.33140/jctcsr.03.02.06 · Cited by 90
Arumugam, P., Hamiti, T., & Gerada, C. (2012) · IEEE Transactions on Energy Conversion · doi:10.1109/tec.2012.2188138 · Cited by 79
Magnets faults characterization for Permanent Magnet Synchronous Motors
Casadei, D., Filippetti, F., Rossi, C., & Stefani, A. (2009) · IEEE International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED) · doi:10.1109/demped.2009.5292770 · Cited by 75
Short-Circuit Analysis of Permanent-Magnet Generators
Klontz, K. W., Miller, T. J. E., McGilp, M. I., et al. (2011) · IEEE Transactions on Industry Applications · doi:10.1109/tia.2011.2154370 · Cited by 73
An On-Line Stator Turn Fault Detection Method for Interior PM Synchronous Motor Drives
Lee, Y., & Habetler, T. G. (2007) · Conference proceedings/Conference proceedings - IEEE Applied Power Electronics Conference and Exposition · doi:10.1109/apex.2007.357610 · Cited by 60
Gritli, Y., Stefani, A., Rossi, C., et al. (2010) · Electric Power Systems Research · doi:10.1016/j.epsr.2010.11.004 · Cited by 59
An on-line method for stator fault detection in multi-phase PMSM drives
Meinguet, F., Semail, E., & Gyselinck, J. J. C. (2010) · IEEE Vehicle Power and Propulsion Conference (VPPC) · doi:10.1109/vppc.2010.5728998 · Cited by 38
Self-citationSensor fault detection and isolation in three-phase systems using a signal-based approach
Gálvez-Carrillo, M., & Kinnaert, M. (2010) · IET Control Theory and Applications · doi:10.1049/iet-cta.2009.0536 · Cited by 37
Lee, Y. (2007) · UPT. Syiah Kuala University Library (Syiah Kuala University) · Cited by 33
Fault detection, isolation and control reconfiguration of three-phase PMSM drives
Meinguet, F., Kestelyn, X., Semail, E., & Gyselinck, J. J. C. (2011) · IEEE International Symposium on Industrial Electronics (ISIE) · doi:10.1109/isie.2011.5984483 · Cited by 30
Self-citationOn-line mechanical unbalance estimation for permanent magnet synchronous machine drives
Kim, H. (2009) · IET Electric Power Applications · doi:10.1049/iet-epa.2008.0078 · Cited by 23
Khov, M., Régnier, J.-C., & Faucher, J. (2009) · IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives · doi:10.1109/demped.2009.5292797 · Cited by 22
Fault frequency tracking during transient operation of wind turbine generators
Crabtree, C., Djurović, S., Tavner, P. J., et al. (2010) · doi:10.1109/icelmach.2010.5608288 · Cited by 18
Hong, J., Lee, S. B., Kral, C., & Haumer, A. (2011) · IEEE International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED) · doi:10.1109/demped.2011.6063651 · Cited by 12
Fault Tolerant Electrical Machines. State of the Art and Future Directions
Ruba, M., & Szabó, L. (2008) · Cited by 7
Fault detection, isolation and reconfiguration of three-phase AC drive with current sensor fault
Meinguet, F., & Gyselinck, J. J. C. (2011) · IEEE International Electric Machines & Drives Conference (IEMDC) · doi:10.1109/iemdc.2011.5994846 · Cited by 6
Self-citationDesign concept of short-circuit fault-tolerance permanent magnet machine
Pang, Y., Zhu, Z. Q., Chen, X. J., et al. (2010) · IET International Conference on Power Electronics, Machines and Drives (PEMD) · doi:10.1049/cp.2010.0163 · Cited by 5
Flagged first, then by citations
Research works printed but not linked: 1
- Blanke M., 2006, Fault diagnosis of continuous‐variable systems’, in ‘Diagnosis and fault‐tolerant control, 189
Cited by
Sorted by citations
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
“The models presented in the literature are described by differential equations, in a three-phase system A-B-C [42], [47], [83], [195], [196], [198], in a synchronous reference frame d-q for 3-phase motors [44], [72], [193], [194], [197], and also for multi-phase motors [213].”
MethodInfluentialComprehensive review on inter‐turn fault indexes in permanent magnet motors
Faiz, J., Nejadi‐Koti, H., & Valipour, Z. (2017) · IET Electric Power Applications · doi:10.1049/iet-epa.2016.0196 · Cited by 86
Metadata
- Authors
- Meinguet, F., Semail, E., Kestelyn, X., Mollet, Y., & Gyselinck, J.
- Affiliations
- Arts et Métiers (FR)
- Université Libre de Bruxelles (BE)
- Corresponding author
- Meinguet, Fabien
- Venue
- IET Electric Power Applications
- Published
- 2014-05
- Volume
- 8
- Issue
- 5
- Pages
- 165-177
- ISSN
- 1751-8660 (ISSN-L)
- 1751-8679
- OpenAlex
- W1965903791
- Cited by
- 34
- References
- 43
- Citations by year
- 2025: 6 · 2024: 3 · 2023: 4 · 2022: 3 · 2021: 1 · 2020: 4 · 2019: 2 · 2018: 3 · 2017: 1 · 2016: 6 · 2015: 1
- FWCI
- 2.97
- Type
- journal article
- Language
- en
- Open access
- green
- hal.science
- Licence
- Locations
- IET Electric Power Applications (publishedVersion)
- HAL (submittedVersion, other-oa)
- SAM, the Arts et Métiers ParisTech open access repository (Paris Institute of Technology) (submittedVersion, other-oa)
- Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles) (submittedVersion)
- LillOA (Université de Lille (University Of Lille)) (submittedVersion, other-oa)
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Machine Fault Diagnosis Techniques
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Sensorless Control of Electric Motors
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Motor Design and Analysis
- Keywords
- fault detection, permanent magnet synchronous motor, voltage reference, adaptive filtering, PI controller, cumulative sum algorithm, change detection, non-stationary operation
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
