Sensitivity analysis of a permanent magnet temperature observer for PM synchronous machines using the monte carlo method
D. Gaona, O. Wallscheid, J. Böcker, in: 2017 IEEE 12th International Conference on Power Electronics and Drive Systems (PEDS), 2017, pp. 599–606.
Download
No fulltext has been uploaded.
Conference Paper
| English
Author
Publishing Year
Proceedings Title
2017 IEEE 12th International Conference on Power Electronics and Drive Systems (PEDS)
Page
599–606
LibreCat-ID
Cite this
Gaona D, Wallscheid O, Böcker J. Sensitivity analysis of a permanent magnet temperature observer for PM synchronous machines using the monte carlo method. In: 2017 IEEE 12th International Conference on Power Electronics and Drive Systems (PEDS). ; 2017:599–606.
Gaona, D., Wallscheid, O., & Böcker, J. (2017). Sensitivity analysis of a permanent magnet temperature observer for PM synchronous machines using the monte carlo method. 2017 IEEE 12th International Conference on Power Electronics and Drive Systems (PEDS), 599–606.
@inproceedings{Gaona_Wallscheid_Böcker_2017, title={Sensitivity analysis of a permanent magnet temperature observer for PM synchronous machines using the monte carlo method}, booktitle={2017 IEEE 12th International Conference on Power Electronics and Drive Systems (PEDS)}, author={Gaona, Daniel and Wallscheid, Oliver and Böcker, Joachim}, year={2017}, pages={599–606} }
Gaona, Daniel, Oliver Wallscheid, and Joachim Böcker. “Sensitivity Analysis of a Permanent Magnet Temperature Observer for PM Synchronous Machines Using the Monte Carlo Method.” In 2017 IEEE 12th International Conference on Power Electronics and Drive Systems (PEDS), 599–606, 2017.
D. Gaona, O. Wallscheid, and J. Böcker, “Sensitivity analysis of a permanent magnet temperature observer for PM synchronous machines using the monte carlo method,” in 2017 IEEE 12th International Conference on Power Electronics and Drive Systems (PEDS), 2017, pp. 599–606.
Gaona, Daniel, et al. “Sensitivity Analysis of a Permanent Magnet Temperature Observer for PM Synchronous Machines Using the Monte Carlo Method.” 2017 IEEE 12th International Conference on Power Electronics and Drive Systems (PEDS), 2017, pp. 599–606.
Google Scholar