Study on Induced Draft Fan Fault Warning of Thermal Power Unit Based on Big Data Analysis
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 cl...
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| Format: | Article |
| Language: | English |
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Editorial Department of Power Generation Technology
2023-08-01
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| Series: | 发电技术 |
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| Online Access: | https://www.pgtjournal.com/article/2023/2096-4528/2096-4528-2023-44-4-557.shtml |
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| author | AN Jizhen ZHENG Fuhao LIU Yifan CHEN Heng XU Gang |
| author_facet | AN Jizhen ZHENG Fuhao LIU Yifan CHEN Heng XU Gang |
| author_sort | AN Jizhen |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-649fad292cec41ec8868e4d59f76a579 |
| institution | OA Journals |
| issn | 2096-4528 |
| language | English |
| publishDate | 2023-08-01 |
| publisher | Editorial Department of Power Generation Technology |
| record_format | Article |
| series | 发电技术 |
| spelling | doaj-art-649fad292cec41ec8868e4d59f76a5792025-08-20T01:47:24ZengEditorial Department of Power Generation Technology发电技术2096-45282023-08-0144455756410.12096/j.2096-4528.pgt.211112096-4528（2023）04-0557-08Study on Induced Draft Fan Fault Warning of Thermal Power Unit Based on Big Data AnalysisAN Jizhen0ZHENG Fuhao1LIU Yifan2CHEN Heng3XU Gang4Beijing Key Laboratory of Pollutant Monitoring and Control in Thermoelectric Production, North China Electric Power University, Changping District, Beijing 102206, ChinaBeijing Key Laboratory of Pollutant Monitoring and Control in Thermoelectric Production, North China Electric Power University, Changping District, Beijing 102206, ChinaBeijing Key Laboratory of Pollutant Monitoring and Control in Thermoelectric Production, North China Electric Power University, Changping District, Beijing 102206, ChinaBeijing Key Laboratory of Pollutant Monitoring and Control in Thermoelectric Production, North China Electric Power University, Changping District, Beijing 102206, ChinaBeijing Key Laboratory of Pollutant Monitoring and Control in Thermoelectric Production, North China Electric Power University, Changping District, Beijing 102206, ChinaAiming 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.https://www.pgtjournal.com/article/2023/2096-4528/2096-4528-2023-44-4-557.shtmlthermal power generationthermal power unitinduced draft fanbp neural networkfault warningbig data |
| spellingShingle | AN Jizhen ZHENG Fuhao LIU Yifan CHEN Heng XU Gang Study on Induced Draft Fan Fault Warning of Thermal Power Unit Based on Big Data Analysis 发电技术 thermal power generation thermal power unit induced draft fan bp neural network fault warning big data |
| title | Study on Induced Draft Fan Fault Warning of Thermal Power Unit Based on Big Data Analysis |
| title_full | Study on Induced Draft Fan Fault Warning of Thermal Power Unit Based on Big Data Analysis |
| title_fullStr | Study on Induced Draft Fan Fault Warning of Thermal Power Unit Based on Big Data Analysis |
| title_full_unstemmed | Study on Induced Draft Fan Fault Warning of Thermal Power Unit Based on Big Data Analysis |
| title_short | Study on Induced Draft Fan Fault Warning of Thermal Power Unit Based on Big Data Analysis |
| title_sort | study on induced draft fan fault warning of thermal power unit based on big data analysis |
| topic | thermal power generation thermal power unit induced draft fan bp neural network fault warning big data |
| url | https://www.pgtjournal.com/article/2023/2096-4528/2096-4528-2023-44-4-557.shtml |
| work_keys_str_mv | AT anjizhen studyoninduceddraftfanfaultwarningofthermalpowerunitbasedonbigdataanalysis AT zhengfuhao studyoninduceddraftfanfaultwarningofthermalpowerunitbasedonbigdataanalysis AT liuyifan studyoninduceddraftfanfaultwarningofthermalpowerunitbasedonbigdataanalysis AT chenheng studyoninduceddraftfanfaultwarningofthermalpowerunitbasedonbigdataanalysis AT xugang studyoninduceddraftfanfaultwarningofthermalpowerunitbasedonbigdataanalysis |