@inproceedings{45a2c69405bf4132870d17118851b616,
title = "Sensor failure detection and diagnosis via polynomial chaos theory-part II: Digital realization",
abstract = "The reliability and performance of complex power systems with many sensors are largely dependent on the accuracy and reliability of the sensors. Thus, it is very important for monitoring and diagnosis the sensor faults. In this paper, the digital realization of polynomial chaos theory (PCT) based sensor failure detection and diagnosis (SFDD) algorithm considering parameter uncertainties has been detailed. A digital signal processor (DSP), TMS320F2812, is adopted to implement the proposed SFDD algorithm. Both hardware-in-the-loop testing and laboratory experimental testing have been done to verify the online practical application capability of the proposed algorithm. A three-stage synchronous generator with automatic voltage regulator (AVR) has been used as a case study. The control performance of AVR is guaranteed to be more reliable by the application of SFDD algorithm based on PCT. Experiment results show good consistency with the theory analysis.",
keywords = "Automatic voltage regulator, Digital realization, Polynomial chaos theory, Sensor failure detection and diagnosis, Synchronous generator",
author = "Weilin Li and Xiaobin Zhang and Huimin Li and Wenli Yao",
year = "2013",
doi = "10.1007/978-3-642-38460-8\_23",
language = "英语",
isbn = "9783642384592",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Verlag",
pages = "199--207",
booktitle = "Proceedings of 2013 Chinese Intelligent Automation Conference - Intelligent Automation and Intelligent Technology and Systems",
note = "2013 Chinese Intelligent Automation Conference, CIAC 2013 ; Conference date: 23-08-2013 Through 25-08-2013",
}