Modeling of Coal Mill System Used for Fault Simulation

被引:8
作者
Hu, Yong [1 ]
Ping, Boyu [1 ]
Zeng, Deliang [1 ]
Niu, Yuguang [1 ]
Gao, Yaokui [1 ]
机构
[1] North China Elect Power Univ, Control & Comp Engn Coll, State Key Lab Alternate Elect Power Syst Renewabl, Beijing 102206, Peoples R China
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
coal mill; dynamic model; data-driven; fault diagnosis; fault simulation; PULVERIZING SYSTEM; DIAGNOSIS; NETWORK;
D O I
10.3390/en13071784
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Monitoring and diagnosis of coal mill systems are critical to the security operation of power plants. The traditional data-driven fault diagnosis methods often result in low fault recognition rate or even misjudgment due to the imbalance between fault data samples and normal data samples. In order to obtain massive fault sample data effectively, based on the analysis of primary air system, grinding mechanism and energy conversion process, a dynamic model of the coal mill system which can be used for fault simulation is established. Then, according to the mechanism of various faults, three types of faults (i.e., coal interruption, coal blockage and coal self-ignition) are simulated through the modification of model parameters. The simulation shows that the dynamic characteristic of the model is consistent with the actual object, the relative error of each output variable is less than 2.53%, and the total average relative error of all outputs is about 1.2%. The model has enough accuracy and adaptability for fault simulation, and the problem of massive fault samples acquisition can be effectively solved by the proposed method.
引用
收藏
页数:14
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