中圖分類號(hào)： TP311.5
文獻(xiàn)標(biāo)識(shí)碼： A
DOI： 10.19358/j.issn.2096-5133.2021.09.003
引用格式： 費(fèi)清春，史瑩瑩，曾慶國(guó). 基于故障模式的裝備質(zhì)量問(wèn)題文本分類方法[J].信息技術(shù)與網(wǎng)絡(luò)安全，2021，40(9)：14-18.

Text classification method for equipment quality problems based on failure mode

Abstract： In the face of large-scale and massive equipment quality problem texts, how to accurately and effectively classify them according to failure modes has important theoretical significance. At present, the mainly method based on manual judgement is a time-consuming and laborious task, which is difficult to satisfy the real-world application requirements. Under the above background, this paper proposes an automatic classification approach based on failure modes. It firstly utilizes Chinese word segmentation technology to segment text, which is used to generate keyword feature vectors. Then, it calculates the similarity of the quality problem text vectors and failure mode text vectors, and finally determines the type of failure mode that the quality problem belongs to according to similarity threshold. The proposed approach is implemented by information technology that is simple in its implementation for equipment quality problem classification. Experimental results show that the proposed approach has received superior performance on classification for equipment quality problem texts.

Key words : equipment quality；quality problem；text classification；failure mode；similarity