国产欧美精品一区二区,中文字幕专区在线亚洲,国产精品美女网站在线观看,艾秋果冻传媒2021精品,在线免费一区二区,久久久久久青草大香综合精品,日韩美aaa特级毛片,欧美成人精品午夜免费影视

As for the information retrieval of radar fault data and empirically technical support documents, we propose a design and implementation method of a fault searching system combined with semantic web technology. The system uses fault trees to organize structurized historical fault data, and converts them into binary decision diagrams to obtain minimal cut sets of top fault events, and then acquires accurate fault reasons via semantic matching. Meanwhile, it obtains support documents related to users’ query items by using an open source search engine Lucene to search from technical document database. In the system, it uses ontology language to build a semantic web of terminologies, for improving the accuracy of Chinese words segmentation and text matching, so as to involve semantic correlation between different words. The system has been used in the fault searching of the power unit of an AESA radar and has obtained good effect for technological assistance.