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	Detection and repair faults of sensors in sampled control system
	Hu, Jingzhi ; Dong, Kai
	2015
英文摘要	In order to improve reliability and safety of computer control system, it is very important to detect and to diagnose faults in sensors. Generally, pulse-type faults in sensors result in outliers in a sampled time series of computer control system. Based on the fact that the median estimator is the most robust one among all estimators, a new algorithm for detection and magnitude identification of abrupt outliers is established in this paper. The algorithm is composed of four parts: outlier-tolerant filtering, detection of pulse-type faults, magnitude identification and outliers repairing. This new algorithm can be used directly not only to deal with pulse-type faults in sensors but also to eliminate isolated outliers as well as patches in a sampled time series. Results from some simulated examples indicate that this new algorithm is practical and efficient. ? 2015 IEEE.; EI; 2343-2347
语种	英语
出处	12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015
DOI标识	10.1109/FSKD.2015.7382319
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/436336]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Hu, Jingzhi,Dong, Kai. Detection and repair faults of sensors in sampled control system. 2015-01-01.

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