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搭建了一套基于NLP的转向架故障信息处理系统,针对地铁转向架系统故障信息的实际情形,设计了转向架故障信息处理系统的自然语言处理策略,通过计算句子相似度寻找故障记录在标准故障语句表中对应的表达,并运用该标准故障语句重新形成包含原故障信息内容的标准语句。最后,使用本系统处理了某轨道交通运营单位车辆转向架系统的现场故障信息,验证了算法的有效性。
A set of NLP-based bogie fault information processing system is set up. According to the actual situation of metro bogie system fault information, a natural language processing strategy of the bogie fault information processing system is designed. By calculating the sentence similarity to find the fault record in the standard fault Statement corresponding expression, and the use of the standard fault statement to re-form a standard statement containing the original fault information content. Finally, this system is used to deal with the on-site fault information of the vehicle bogie system of a rail transit operator, which verifies the effectiveness of the algorithm.