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Liu, <i>et al.<\/i>: \u201cAn efficient thermal computation model of PMSM based on FEA results and interpolation,\u201d IEEE Trans. Appl. Supercond. <b>31<\/b> (2021) 1 (DOI: 10.1109\/TASC.2021.3096512).","DOI":"10.1109\/TASC.2021.3096512"},{"key":"2","doi-asserted-by":"crossref","unstructured":"[2] J. Yang, <i>et al.<\/i>: \u201cDisturbance\/uncertainty estimation and attenuation techniques in PMSM drives--a survey,\u201d IEEE Trans. Ind. Electron. <b>64<\/b> (2017) 3273 (DOI: 10.1109\/TIE.2016.2583412).","DOI":"10.1109\/TIE.2016.2583412"},{"key":"3","doi-asserted-by":"crossref","unstructured":"[3] H. Lee, <i>et al.<\/i>: \u201cAttention recurrent neural network-based severity estimation method for interturn short-circuit fault in permanent magnet synchronous machines,\u201d IEEE Trans. Ind. Electron. <b>68<\/b> (2021) 3445 (DOI: 10.1109\/TIE.2020.2978690).","DOI":"10.1109\/TIE.2020.2978690"},{"key":"4","doi-asserted-by":"crossref","unstructured":"[4] T. Boileau, <i>et al.<\/i>: \u201cSynchronous demodulation of control voltages for stator interturn fault detection in PMSM,\u201d IEEE Trans. Power Electron. <b>28<\/b> (2013) 5647 (DOI: 10.1109\/TPEL.2013.2254132).","DOI":"10.1109\/TPEL.2013.2254132"},{"key":"5","doi-asserted-by":"crossref","unstructured":"[5] H. Dan, <i>et al.<\/i>: \u201cOpen-switch and current sensor fault diagnosis strategy for matrix converter-based PMSM drive system,\u201d IEEE Trans. Ind. Electron. <b>8<\/b> (2022) 875 (DOI: 10.1109\/TTE.2021.3109093).","DOI":"10.1109\/TTE.2021.3109093"},{"key":"6","doi-asserted-by":"crossref","unstructured":"[6] M. Zafarani, <i>et al.<\/i>: \u201cInterturn short-circuit faults in permanent magnet synchronous machines: an extended review and comprehensive analysis,\u201d IEEE J. Emerg. Sel. Topics Power Electron. <b>6<\/b> (2018) 2173 (DOI: 10.1109\/JESTPE.2018.2811538).","DOI":"10.1109\/JESTPE.2018.2811538"},{"key":"7","doi-asserted-by":"crossref","unstructured":"[7] W. Huang, <i>et al.<\/i>: \u201cSearch-coil based stator interturn fault detection in permanent magnet machines running under dynamic condition,\u201d Electronics <b>12<\/b> (2023) 2827 (DOI: 10.3390\/electronics.12132827).","DOI":"10.3390\/electronics12132827"},{"key":"8","doi-asserted-by":"crossref","unstructured":"[8] B. Du, <i>et al.<\/i>: \u201cInterturn fault diagnosis strategy for interior permanent-magnet synchronous motor of electric vehicles based on digital signal processor,\u201d IEEE Trans. Ind. Electron. <b>63<\/b> (2016) 1694 (DOI: 10.1109\/TIE.2015.2496900).","DOI":"10.1109\/TIE.2015.2496900"},{"key":"9","doi-asserted-by":"crossref","unstructured":"[9] J.-C. Urresty, <i>et al.<\/i>: \u201cDiagnosis of interturn faults in PMSMs operating under nonstationary conditions by applying order tracking filtering,\u201d IEEE Trans. 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Tallam, <i>et al.<\/i>: \u201cExperimental testing of a neural-network-based turn-fault detection scheme for induction machines under accelerated insulation failure conditions,\u201d IEEE International Symposium on Diagnostics for Electric Machines (2003) (DOI: 10.1109\/DEMPED.2003.1234547)."},{"key":"13","doi-asserted-by":"crossref","unstructured":"[13] A. Mahmoudi, <i>et al.<\/i>: \u201cInter-turn short-circuit faults diagnosis in synchronous reluctance machines, using the Luenberger state observer and current\u2019s second-order harmonic,\u201d IEEE Trans. Ind. Electron. <b>69<\/b> (2022) 8420 (DOI: 10.1109\/TIE.2021.3109514).","DOI":"10.1109\/TIE.2021.3109514"},{"key":"14","doi-asserted-by":"crossref","unstructured":"[14] M.A. Mazzoletti, <i>et al.<\/i>: \u201cA model-based strategy for interturn short-circuit fault diagnosis in PMSM,\u201d IEEE Trans. Ind. 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