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Fault detection and isolation on a PWM inverter by knowledge-based model
Abstract
This paper presents an approach based on knowledge models to detect and isolate faults in a pulsewidth modulation inverter supplying a synchronous machine. These faults do not affect the system protection. A diagnosis system which uses only the input variables of the drive is presented. It is based on the analysis of the current-vector trajectory and of the instantaneous frequency in faulty mode. These two methods have been successfully applied to an experimental system.
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Cited by
A Literature Review of IGBT Fault Diagnostic and Protection Methods for Power Inverters
Lu, B., & Sharma, S. K. (2009) · IEEE Transactions on Industry Applications · doi:10.1109/tia.2009.2027535 · Cited by 985
Estima, J. O., & Marques Cardoso, A. J. (2013) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2012.2188877 · Cited by 377
Fault-Tolerant Voltage Source Inverter for Permanent Magnet Drives
Errabelli, R. R., & Mutschler, P. (2012) · IEEE Transactions on Power Electronics · doi:10.1109/tpel.2011.2135866 · Cited by 278
Fuchs, F. W. (2004) · IECON'03. 29th Annual Conference of the IEEE Industrial Electronics Society (IEEE Cat. No.03CH37468) · doi:10.1109/iecon.2003.1280259 · Cited by 270
Fault-tolerant control in variable speed drives: a survey
Campos-Delgado, D. U., Espinoza-Trejo, D. R., & Palacios, E. (2008) · IET Electric Power Applications · doi:10.1049/iet-epa:20070203 · Cited by 228
Metadata
- Authors
- Peuget, R., Courtine, S., & Rognon, J.-P.
- Venue
- IEEE Transactions on Industry Applications
- Published
- 1998
- Volume
- 34
- Issue
- 6
- Pages
- 1318-1326
- ISSN
- 0093-9994 (ISSN-L)
- OpenAlex
- W4237923008
- Cited by
- 384
- References
- 0
- FWCI
- 1.71
- Type
- journal article
- Language
- en
- Open access
- closed
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- Peuget, R., Courtine, S., & Rognon, J.-P. (1998). Fault detection and isolation on a PWM inverter by knowledge-based model. IEEE Transactions on Industry Applications. https://doi.org/10.1109/28.739017
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.