Design of experiment for diagnosis of the temperatures in AC motor drive Export

@inproceedings{citeulike:2289168, abstract = {the paper describes statistical methods used to diagnose power semiconductors in DTC drive system. Simulation was used to train the data-mining model and then trained model was used to diagnose temperatures. To select the most significant training points the design of experiment was applied. From the measurement point of view the challenge is in predicting the maximum temperature reached by the semiconductors (a momentary effect) based on signals that vary on much larger time scales, e.g., the cooling water temperature. In this paper we present some requirements regarding collection and analysis of drive signals for the purpose of diagnosing temperatures.}, author = {Zygmunt, M. and Orkisz, M. and Joerg, P. and Wnek, M. and Nowak, J.}, booktitle = {Diagnostics for Electric Machines, Power Electronics and Drives, 2007. SDEMPED 2007. IEEE International Symposium on}, citeulike-article-id = {2289168}, citeulike-linkout-0 = {http://dx.doi.org/10.1109/DEMPED.2007.4393121}, citeulike-linkout-1 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4393121}, doi = {10.1109/DEMPED.2007.4393121}, journal = {Diagnostics for Electric Machines, Power Electronics and Drives, 2007. SDEMPED 2007. IEEE International Symposium on}, keywords = {diagnostics, doe, dtc, power-electronics, semped}, pages = {363--368}, posted-at = {2008-01-25 12:13:40}, priority = {2}, title = {Design of experiment for diagnosis of the temperatures in AC motor drive}, url = {http://dx.doi.org/10.1109/DEMPED.2007.4393121}, year = {2007} }

TY - CONF ID - citeulike:2289168 L3 - citeulike-article-id:2289168 N2 - the paper describes statistical methods used to diagnose power semiconductors in DTC drive system. Simulation was used to train the data-mining model and then trained model was used to diagnose temperatures. To select the most significant training points the design of experiment was applied. From the measurement point of view the challenge is in predicting the maximum temperature reached by the semiconductors (a momentary effect) based on signals that vary on much larger time scales, e.g., the cooling water temperature. In this paper we present some requirements regarding collection and analysis of drive signals for the purpose of diagnosing temperatures. JF - Diagnostics for Electric Machines, Power Electronics and Drives, 2007. SDEMPED 2007. IEEE International Symposium on EP - 368 TI - Design of experiment for diagnosis of the temperatures in AC motor drive T2 - Diagnostics for Electric Machines, Power Electronics and Drives, 2007. SDEMPED 2007. IEEE International Symposium on SP - 363 KW - diagnostics KW - doe KW - dtc KW - power-electronics KW - semped AU - Zygmunt, M AU - Orkisz, M AU - Joerg, P AU - Wnek, M AU - Nowak, J PY - 2007/// UR - http://dx.doi.org/10.1109/DEMPED.2007.4393121 ER -