Fault diagnosis of industrial process based on the optimal parametric t-distributed stochastic neighbor embedding  

作　　者：Ruixue JIA Jing WANG Jinglin ZHOU 

机构地区：[1]College of Information Science and Technology,Beijing University of Chemical Technology,Beijing 100029,China

出　　处：《Science China(Information Sciences)》2021年第5期229-231,共3页中国科学（信息科学）（英文版）

基　　金：supported by National Natural Science Foundation of China(Grant Nos.61573050,61473025);Fundamental Research Funds for the Central Universities of China(Grant No.XK1802-4);Open-Project Grant Funded by the State Key Laboratory of Synthetical Automation for Process Industry at the Northeastern University(Grant No.PAL-N201702)。

摘　　要：Dear editor,Fault diagnosis of industrial production processes are crucial for early detection of abnormal conditions and help operators to prevent accidents in a timely manner.Therefore,reasonably establishing a fault diagnosis model with better performance and reducing false alarm rate are vital for improving the efficiency of industrial operations and ensuring the safety and reliable operation of equipment.

关 键 词：STOCHASTIC EMBEDDING OPERATORS 

分 类 号：TP277[自动化与计算机技术—检测技术与自动化装置]