Research and application of self-diagnosis and automatic intervention functions for turbine regulating valve malfunctions in nuclear power plants

Abstract The inlet regulating valve of the turbine is very important to the control of the turbine. If the control is abnormal, it will create some uncontrollable safety risks, which may cause the turbine to trip, even to over-speed. The study of the structure and control mode of the turbine regulating valve shows some defects in the design of the turbine regulating valve in a nuclear power plant. In this paper, through the analysis of the fault mode, the method of fault self-diagnosis is studied, verified, and improved so that it has perfect self-diagnosis and intervention means, improves the reliability of turbine valve control, and eliminates the hidden danger of tripping.

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Publication Details

Journal
Journal of Physics Conference Series
Published
2024-08-01
DOI
https://doi.org/10.1088/1742-6596/2815/1/012029
Primary Topic
Fault Detection and Control Systems
Type
article
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article

Research and application of self-diagnosis and automatic intervention functions for turbine regulating valve malfunctions in nuclear power plants

Min Li, Xiaolong Jiang, Changxian Gan, Jiaxuan Li et al.
Journal of Physics Conference Series
Fault Detection and Control Systems
article

Research and application of self-diagnosis and automatic intervention functions for turbine regulating valve malfunctions in nuclear power plants

Min Li, Xiaolong Jiang, Changxian Gan, Jiaxuan Li, Hua Li, Xianhai Li
article en

Abstract

Abstract The inlet regulating valve of the turbine is very important to the control of the turbine. If the control is abnormal, it will create some uncontrollable safety risks, which may cause the turbine to trip, even to over-speed. The study of the structure and control mode of the turbine regulating valve shows some defects in the design of the turbine regulating valve in a nuclear power plant. In this paper, through the analysis of the fault mode, the method of fault self-diagnosis is studied, verified, and improved so that it has perfect self-diagnosis and intervention means, improves the reliability of turbine valve control, and eliminates the hidden danger of tripping.

Journal of Physics Conference SeriesVol. 2815(1)
China General Nuclear Power Corporation (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 86%
Fault Detection and Control Systems
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