Equipment fault diagnosis method and system based on bayesian network

A Bayesian network and fault diagnosis technology, which is applied to the detection of faulty computer hardware, instruments, and electrical digital data processing, etc., can solve problems such as ignoring information uncertainty, single diagnostic results, and inability to guarantee diagnostic accuracy. Achieve the effect of improving the efficiency of equipment fault diagnosis, reducing the calculation burden, and reducing the calculation scale

Active Publication Date: 2018-12-18
GUANGZHOU POWER SUPPLY BUREAU GUANGDONG POWER GRID CO LTD
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Problems solved by technology

However, when it is used, it either ignores the uncertainty of information and gives a single diagnosis result; or completes multiple guidelines sequentially according to the established procedures and processes, and does not update the database according to the actual diagnosis results, so the accuracy of diagnosis cannot be guaranteed.

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  • Equipment fault diagnosis method and system based on bayesian network
  • Equipment fault diagnosis method and system based on bayesian network
  • Equipment fault diagnosis method and system based on bayesian network

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Embodiment Construction

[0041] The present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. In particular, the following examples are only used to illustrate the present invention, but not to limit the scope of the present invention. Likewise, the following embodiments are only some but not all embodiments of the present invention, and all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0042] The invention provides a device fault diagnosis method based on Bayesian network, which can fully consider the uncertainty of information, and the diagnosis results given are all optimal solutions under the current conditions, rather than qualitative values, and can be based on actual conditions. The diagnostic results update the database to ensure the accuracy of the diagnosis.

[0043] See figure 1 , figure 1 It is a schematic flowchart o...

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Abstract

The invention discloses a device fault diagnosis method and a device fault diagnosis system based on a Bayesian network. Wherein the method may be based on a known fault of an input device to be diagnosed, a physical model of a corresponding device and failure condition probability information of the training data set after association rule mining are retrieved from a memory, the optimal fault diagnosis recommendation under the known fault information is given and the optimal fault diagnosis is stored and the optimal fault diagnosis is stored, fully considering the uncertainty of information,the diagnosis results are the optimal solution under the current conditions, not the qualitative value. The database can be updated according to the actual diagnosis results to ensure the accuracy ofdiagnosis.

Description

technical field [0001] The invention relates to the technical field of equipment fault diagnosis, in particular to a Bayesian network-based equipment fault diagnosis method and system. Background technique [0002] At present, the equipment fault diagnosis scheme developed and designed in the industry is relatively complete in function and can meet the needs of most cases. However, when it is used, it either ignores the uncertainty of information and gives a single diagnosis result; or completes multiple guidelines sequentially according to the established procedures and processes, and does not update the database according to the actual diagnosis results, so the accuracy of diagnosis cannot be guaranteed. Contents of the invention [0003] The purpose of the present invention is to propose a method and system for equipment fault diagnosis based on Bayesian network, which can fully consider the uncertainty of information, and the diagnosis results given are the optimal sol...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F11/22G06K9/62
CPCG06F11/2268G06F18/24155
Inventor 陈国炎陈颖李俊均
Owner GUANGZHOU POWER SUPPLY BUREAU GUANGDONG POWER GRID CO LTD
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