@inproceedings{1a0ee6a0e3a64219a35a98e8d41be7aa,
title = "Fault diagnosis in three-phase power inverters using multiple-model kalman filter",
abstract = "In this paper, a multiple-model Kalman filter (MMKF) approach is utilized to design fault detection and identification (FDI) filters for three-phase power inverters with L filters. The MMKF approach has the advantage that it can be applied to both linear and nonlinear systems. The MMKF-based FDI filters are designed for inverter component (inductance and resistance) and current sensor faults. Simulation results for a three-phase inverter model verify the effectiveness of the proposed filters.",
author = "{Mohsen Azizi}, S.",
year = "2019",
month = may,
doi = "10.1109/IEMDC.2019.8785372",
language = "English (US)",
series = "2019 IEEE International Electric Machines and Drives Conference, IEMDC 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "907--910",
booktitle = "2019 IEEE International Electric Machines and Drives Conference, IEMDC 2019",
address = "United States",
note = "11th IEEE International Electric Machines and Drives Conference, IEMDC 2019 ; Conference date: 12-05-2019 Through 15-05-2019",
}