LPV modelling and LPV observer-based fault detection for wind turbine systems

Shao, Hui, Gao, Zhiwei and Busawon, Krishna (2016) LPV modelling and LPV observer-based fault detection for wind turbine systems. In: INDIN 2016 - 14th IEEE International Conference on Industrial Informatics, 19th - 21st July 2016, Poitiers, France.

Full text not available from this repository.
Official URL: http://dx.doi.org/10.1109/INDIN.2016.7819206

Abstract

In this paper, linear parameter varying (LPV) modelling technique is addressed for modelling a wind turbine system, with real-time changing scheduling parameters. Based on the LPV wind turbine model, a LPV observer-based fault detection method is utilized to detect faults under four scenarios. The effectiveness of the proposed modelling and fault detection techniques is demonstrated by using the widely-recognized wind turbine benchmark system.

Item Type: Conference or Workshop Item (Paper)
Subjects: H600 Electronic and Electrical Engineering
Department: Faculties > Engineering and Environment > Physics and Electrical Engineering
Depositing User: Zhiwei Gao
Date Deposited: 25 Jan 2017 14:28
Last Modified: 05 Sep 2017 09:56
URI: http://nrl.northumbria.ac.uk/id/eprint/29352

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