Young-Jong Ko, Kyo-Beum Lee, Dong-Choon Lee, and Jang-Mok Kim, “Fault diagnosis of three-parallel voltage-source converter for a high-power wind turbine,” IET Power Electronics, vol. 5, no. 7, pp. 1058–1067, Aug. 2012. -SCIE > Paper

A fault detection method for the switch devices of three-parallel power converters in a wind-turbine system is presented. The

proposed method utilises the measured three-phase currents (i s a, i s b, i s c) that were already used for controlling the converters.

Additional current and voltage sensors are thus not necessary. Consequently, this particular feature potentially cuts costs to apply

the detection algorithm. The three-phase currents are transformed to a stationary reference frame (i s d, i s q). This reference frame

possesses specific patterns in accordance to the conditions of the switch devices in the converter. Faulty switches can be detected

by analysing the obtained pattern and pattern recognition is achieved by a neural network that has a learning capability. The

proposed method is primarily able to diagnose an open fault switch in the converter. The reliability of the proposed fault detection

method was proved by simulations and experiments using a 10 kW simulator.