文章基本信息

标题：Sensor fault diagnosis in inland navigation networks based on a grey-box model
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作者：P. Segovia ; J. Blesa ; E. Duviella 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2018
卷号：51
期号：24
页码：742-747
DOI：10.1016/j.ifacol.2018.09.658
语种：English
出版社：Elsevier
摘要：AbstractInland navigation networks are equipped with limnimeters to measure and record water level data for the control of water levels and the management of water resources. When faults occur on sensors, corrupted data can be considered as correct, leading to undesirable management actions. Therefore, it is necessary to detect and localize these faults. In this paper, the detection and localization of sensor faults is performed through the analysis of the parameters of a grey-box model, which are obtained from available real data. The parameters are determined with a sliding window, with the exception of the delays, which are considered knowna priori.A fault is detected and then localized when there is a change in the value of the parameters. This approach is well suited for constant faults and particularly well adapted for intermittent faults. Data of an inland navigation reach located in the north of France are used to highlight the performance of the proposed approach.
关键词：KeywordsLarge-scale systemsinland waterwaysfault diagnosisgrey-box model