Nuclear power plant main coolant system fault diagnosis method

A coolant system and fault diagnosis technology, applied in fuzzy logic-based systems, electrical components, logic circuits, etc., can solve the problems of difficult fault diagnosis and different fault causes, and achieve easy analysis, strong flexibility, and calculation easy effect

Active Publication Date: 2018-04-10
SHANGHAI UNIVERSITY OF ELECTRIC POWER
View PDF4 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention is aimed at the problem that in the main coolant system of a nuclear power plant, there are not only various types of equipment failures but also different causes of failures, resulting in difficult accurate fault diagnosis, and proposes a fault diagnosis me

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Nuclear power plant main coolant system fault diagnosis method
  • Nuclear power plant main coolant system fault diagnosis method
  • Nuclear power plant main coolant system fault diagnosis method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0025] Such as figure 1 A flow chart of a fault diagnosis method for the main coolant system of a nuclear power plant is shown, including the following steps:

[0026] 1. The model building module is to establish the corresponding relationship between symptoms and faults: set the fault type and its corresponding symptoms, establish a fault space model, and obtain the corresponding relationship between symptoms and faults;

[0027] 2. Generate BPA by BPA (Basic Probability Assignment Function) generator: First, use the minimum value, optimum value, and maximum value of the fault symptom parameters to establish a triangular fuzzy function, and on this basis, the specific measurement value of the input symptom Carry out the comparison, and generate the basic probability assignment function of each fault type according to the BPA generation algorithm;

[0028] 3. Use the evidence fusion module to fuse the BPA of each fault symptom generated by the BPA generator according to the s...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to a nuclear power plant main coolant system fault diagnosis method. A model building module, a BPA generator, an evidence fusion module and a decision-making diagnosis device are sequentially connected in sequence, the model constructed by the module is used as the input of the evidence fusion module through the data calculated by the BPA generator, the result is fused by the evidence fusion module and is transmitted to the decision-making diagnosis device, and finally the decision-making diagnosis device outputs a judgment result. The fault symptom is used as evidence for identifying a target, and a fusion result is obtained through an evidence synthesis method to judge the fault type, according to the method, the uncertainty of the fault diagnosis is analyzed and expressed from the evidence angle., and a hypothesis set is continuously reduced by means of accumulation of evidence, so that the diagnosis result is more objective and accurate. The fault symptom isused as the evidence for identifying a target, a fusion result is obtained through an evidence synthesis method to judge the fault type, according to the method, the uncertainty of the fault diagnosisis analyzed and expressed from the evidence angle, and a hypothesis set is continuously reduced by means of accumulation of evidence, and the 'unknown' and 'uncertain' can be distinguished, so that the diagnosis result is more objective and accurate. The BPA is generated by utilizing the triangular fuzzy number, the specific numerical value is obtained through quantitative calculation and is convenient to analyze, and the calculation is simple and convenient; secondly, the method has stronger flexibility and is beneficial to the analysis personnel to make a decision.

Description

technical field [0001] The invention relates to a fault diagnosis technology, in particular to a fault diagnosis method for the main coolant system of a nuclear power plant. Background technique [0002] Nuclear energy is safe, clean and efficient energy. In order to meet the power demand, optimize the energy structure, and promote sustainable economic development, China is vigorously developing the nuclear power industry. At present, there are 24 nuclear power units under construction, with an installed capacity of 26.549 million kilowatts, ranking first in the world in terms of scale under construction, accounting for 37.77% of the installed capacity of nuclear power units under construction in the world. Nuclear power safety has always been the focus of attention. The safety of nuclear power plants should be able to effectively and reliably guarantee the safety of surrounding residents and nuclear power workers, so the possibility of potential nuclear power accidents mus...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06N7/00G06N7/02
CPCG06N7/02G06N7/01
Inventor 龚永健苏晓燕钱虹张栋良陈秋冬石峰建白宛灵
Owner SHANGHAI UNIVERSITY OF ELECTRIC POWER
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products