Study on Induced Draft Fan Fault Warning of Thermal Power Unit Based on Big Data Analysis

doi:10.12096/j.2096-4528.pgt.21111

Abstract

Abstract:

Aiming at the frequent occurrence of induced draft fan faults in thermal power units, a kind of induced draft fan fault warning method based on big data analysis was proposed.Taking the induced draft fan of a 330 MW thermal power unit as the research object, 11 kinds of characteristic information closely related to its working state were extracted. After data pretreatment, a state prediction model of the induced draft fan was established based on BP neural network, and its error met the requirements of engineering. Using distributed control system (DCS) and safety instrumentation system (SIS), a set of induced draft fan state warning system was designed, and the visual interface of this warning system was developed. When the measured value of a certain feature information exceeds the safety threshold of the predicted value of the model, the system will remind the operator to carry out maintenance and troubleshooting, so as to realize an effective early warning of the induced draft fan fault.

Key words: thermal power generation, thermal power unit, induced draft fan, BP neural network, fault warning, big data

CLC Number:

TK 261

Jizhen AN, Fuhao ZHENG, Yifan LIU, Heng CHEN, Gang XU. Study on Induced Draft Fan Fault Warning of Thermal Power Unit Based on Big Data Analysis[J]. Power Generation Technology, 2023, 44(4): 557-564.

Figures/Tables 12

Fig. 1 Schematic diagram of induced draft fan shafting in coal-fired power station

Tab. 1 Characteristic information set of induced draft fan

序号	特征信息
1	引风机前轴承温度
2	引风机入口烟气温度
3	引风机出口烟气温度
4	引风机电机绕组温度
5	引风机水平振动
6	引风机电机前轴承温度
7	引风机电机后轴承温度
8	引风机入口烟气压力
9	引风机中轴承温度
10	引风机后轴承温度
11	引风机进出口烟气压差

Fig. 2 Original data of flue gas pressure at inlet of induced draft fan

Fig. 3 Inlet pressure curve of induced draft fan after data processing

Fig. 4 Schematic diagram of BP neural network structure principle

Fig. 5 Training process of BP neural network

Fig. 6 Predicted and measured values of flue gas pressure at inlet of induced draft fan

Fig. 7 Predicted and measured values of flue gas temperature at inlet of induced draft fan

Tab. 2 Relative error of characteristic information prediction model of induced draft fan

参数	平均相对误差/%
引风机入口烟气压力	1.72
引风机入口烟气温度	2.02
引风机出口烟气温度	1.31
引风机电机绕组温度	0.42
引风机垂直振动量	0.75
引风机电机前轴承温度	0.32
引风机电机后轴承温度	0.3
引风机前轴承温度	0.35
引风机中轴承温度	1.04
引风机后轴承温度	2.21
引风机进出口烟气压差	1.81

Fig. 8 Pre-warning system of induced draft fan status

Fig. 9 Pre-warning interface of front bearing temperature of induced draft fan

Fig. 10 History query interface of induced draft fan front bearing temperature anomaly

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