Strangas, Elias G.
Michigan State University
4 papers on CoChatORCID 0000-0002-9867-0971
Most cited papers
- Verified
Trends in Fault Diagnosis for Electrical Machines: A Review of Diagnostic Techniques
Henao, H., Capolino, G.-A., Fernandez-Cabanas, M., Filippetti, F., Bruzzese, C., Strangas, E., Pusca, R., Estima, J., Riera-Guasp, M., & Hedayati-Kia, S. (2014) · IEEE Industrial Electronics Magazine
Machine Fault Diagnosis TechniquesElectric Motor Design and Analysis
Cited by 602
- Verified
On the Accuracy of Fault Detection and Separation in Permanent Magnet Synchronous Machines Using MCSA/MVSA and LDA
Haddad, R. Z., & Strangas, E. G. (2016) · IEEE Transactions on Energy Conversion
Machine Fault Diagnosis TechniquesElectric Motor Design and Analysis
Cited by 158
- Verified
Mitigation of Turn-to-Turn Faults in Fault Tolerant Permanent Magnet Synchronous Motors
Cintron-Rivera, J. G., Foster, S. N., & Strangas, E. G. (2015) · IEEE Transactions on Energy Conversion
Electric Motor Design and AnalysisSensorless Control of Electric Motors
Cited by 104
- Verified
Fault detection and classification in permanent magnet synchronous machines using Fast Fourier Transform and Linear Discriminant Analysis
Haddad, R. Z., & Strangas, E. G. (2013) · 2013 9th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives (SDEMPED)
Machine Fault Diagnosis TechniquesElectric Motor Design and Analysis
Cited by 46
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