Uncertain fault diagnosis method for marine nuclear power plant based on multilayer flow model

A multi-layer flow model and uncertainty technology, applied in the fields of power plant safety devices, nuclear engineering, nuclear power generation, etc., can solve the problems of different models, large size, and affecting real-time diagnosis

Inactive Publication Date: 2011-12-28
HARBIN ENG UNIV
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Problems solved by technology

[0007] However, when using existing system modeling methods such as Bayesian networks and causal directed graphs to organize uncertain knowledge, the uncertainty reasoning model built on the basis of expert knowledge is inherently arbitrary, and different experts use the same method to target The models established for the same system problem may also be different
In addition, due to the complexity of the system itself, the built model is usually huge, resulting in a complicated calculation process and affecting the real-time performance of diagnosis

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  • Uncertain fault diagnosis method for marine nuclear power plant based on multilayer flow model
  • Uncertain fault diagnosis method for marine nuclear power plant based on multilayer flow model
  • Uncertain fault diagnosis method for marine nuclear power plant based on multilayer flow model

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Embodiment Construction

[0083] figure 1 It is a brief flow chart of this method. This method is based on the premise of a large number of nuclear power operation experience. Experts in this field evaluate the function of nuclear power plant operation, establish a multilayer flow model, and set and express the variables of each functional component (temperature, pressure, etc.) , water level, etc.) normal change domain, which defines "H", "L" and "OK" of the functional state. And according to the actual operation of the equipment, the expert will give the probability value of the mutual response between each function.

[0084] refer to Figure 4 The nuclear power system includes reactor S1, voltage regulator S2, steam generator S3, steam turbine S4, feed water pump S5 and main pump S6. The multilayer flow model established by the steam generator system is as follows: Figure 5 As shown, among them, B1 is the steam generator heat transfer tube rupture accident (SGTR); B2 is the main steam pipe rupt...

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Abstract

The invention provides an uncertain fault diagnosis method for a nuclear power plant based on a multilayer flow model. When the measured value of the variable representing each functional component detected by the sensor exceeds the normal range, the alarm is displayed as a fault, and the location of the abnormal component is marked; according to the flow direction in the MFM model, the causal relationship that may lead to the fault is intercepted; the logical loop is cut off , form a micro-fault tree; transform the micro-fault tree into a micro-GO-FLOW method; process and merge the micro-GO-FLOW models, and combine them into a GO-FLOW model with the intersection of each abnormal function detected by the sensor as the final signal; Input the GO-FLOW model into the software for calculation, and finally get the probability of the intersection of each abnormal function caused by each basic fault. The invention is suitable for solving complex system problems, is easy to verify, has accurate results, is fast and meets the needs of real-time diagnosis.

Description

technical field [0001] The present invention relates to a complex system fault diagnosis method, specifically a fault diagnosis method based on a multilayer flow model proposed for the complex and uncertain logical relationship between marine nuclear power plant faults and their symptoms . Background technique [0002] Fault diagnosis refers to the application of test analysis methods and diagnostic theories to identify the mechanism, cause, location and degree of faults that occur during system operation, and provide support for further formulating maintenance plans for faulty equipment and taking appropriate emergency operations. System fault diagnosis is based on equipment state identification, starting from the abnormal state of the equipment (that is, symptoms), and analyzing the causal relationship between symptoms according to the principle of system conservation and control rules, so as to realize fault location, characterization and cause determination. [0003] Th...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G21D3/00G21D3/06G21C17/00
CPCY02E30/40Y02E30/00Y02E30/30
Inventor 杨明张志俭张旭王大桂颜声远
Owner HARBIN ENG UNIV
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