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CN105608320A - Bayes formula-based fault location algorithm - Google Patents

Bayes formula-based fault location algorithm Download PDF

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Publication number
CN105608320A
CN105608320A CN201510976905.7A CN201510976905A CN105608320A CN 105608320 A CN105608320 A CN 105608320A CN 201510976905 A CN201510976905 A CN 201510976905A CN 105608320 A CN105608320 A CN 105608320A
Authority
CN
China
Prior art keywords
fault location
location algorithm
target
target area
bayes formula
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201510976905.7A
Other languages
Chinese (zh)
Inventor
蔡健平
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Suzhou Huilaisi Information Science & Technology Co Ltd
Original Assignee
Suzhou Huilaisi Information Science & Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Suzhou Huilaisi Information Science & Technology Co Ltd filed Critical Suzhou Huilaisi Information Science & Technology Co Ltd
Priority to CN201510976905.7A priority Critical patent/CN105608320A/en
Publication of CN105608320A publication Critical patent/CN105608320A/en
Pending legal-status Critical Current

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    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16ZINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS, NOT OTHERWISE PROVIDED FOR
    • G16Z99/00Subject matter not provided for in other main groups of this subclass

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  • Debugging And Monitoring (AREA)

Abstract

The invention discloses a Bayes formula-based fault location algorithm. The Bayes formula-based fault location algorithm comprises the following steps: 1) importing a target to be detected into a computer and establishing a data channel between the computer and the target to be detected through a Bayes formula; 2) starting system self-inspection and determining a faulted target area of a computer channel; 3) carrying out area division on the target area into a plurality of subareas, and rescanning the subareas to obtain fault codes of target subareas; and 4) integrating all the obtained fault codes of the subareas and then sending to a remote cloud server. According to the Bayes formula-based fault location algorithm, a brand new algorithm structural design is adopted, so that the accuracy and universality of the fault location algorithm are improved.

Description

A kind of fault location algorithm based on Bayesian formula
Technical field
The present invention relates to algorithm field, specifically, specially refer to a kind of fault location algorithm based on Bayesian formula.
Background technology
Along with the progress of industrial technology, the scale of modern industry production process is increasing, and complexity is also more and more higher. Once complex process device breaks down, not only can cause huge economic loss, and may cause casualties and the destruction to ecological environment. Fault location is the important step in fault management, and the speed of fault management and accuracy depend on fault location process to a great extent.
Summary of the invention
The object of the invention is to for deficiency of the prior art, provide a kind of fault location algorithm based on Bayesian formula, to address the above problem.
Technical problem solved by the invention can realize by the following technical solutions:
Based on a fault location algorithm for Bayesian formula, comprise the steps:
1) target to be detected is imported to computer, set up the data channel between target to be detected by Bayesian formula;
2) start System self-test, determine the target area that computer access breaks down;
3) region division is carried out in described target area, described target area is divided into some subregions; Described subregion is carried out to rescan, obtain the failure code of the subregion of target;
4) after the failure code of all subregions that obtain is integrated, be sent to long-range cloud computing machine.
Further, described fault location algorithm is based on JAVA, C Plus Plus.
Further, described target area is divided into 4 sub regions.
Compared with prior art, beneficial effect of the present invention is as follows:
By adopting brand-new algorithm structure design, improve accuracy and the wide usage of fault location algorithm.
Detailed description of the invention
For technological means, creation characteristic that the present invention is realized, reach object and effect is easy to understand, below in conjunction with detailed description of the invention, further set forth the present invention.
A kind of fault location algorithm based on Bayesian formula of the present invention, comprises the steps:
1) target to be detected is imported to computer, set up the data channel between target to be detected by Bayesian formula;
2) start System self-test, determine the target area that computer access breaks down;
3) region division is carried out in described target area, described target area is divided into some subregions; Described subregion is carried out to rescan, obtain the failure code of the subregion of target;
4) after the failure code of all subregions that obtain is integrated, be sent to long-range cloud computing machine.
Described fault location algorithm is based on JAVA, C Plus Plus.
Described target area is divided into 4 sub regions.
By adopting above-mentioned technology, further improve accuracy and the wide usage of fault location algorithm of the present invention.
More than show and described general principle of the present invention and principal character and advantage of the present invention. The technical staff of the industry should understand; the present invention is not restricted to the described embodiments; that in above-described embodiment and description, describes just illustrates principle of the present invention; without departing from the spirit and scope of the present invention; the present invention also has various changes and modifications, and these changes and improvements all fall in the claimed scope of the invention. The claimed scope of the present invention is defined by appending claims and equivalent thereof.

Claims (3)

1. the fault location algorithm based on Bayesian formula, is characterized in that, comprises the steps:
1) target to be detected is imported to computer, set up the data channel between target to be detected by Bayesian formula;
2) start System self-test, determine the target area that computer access breaks down;
3) region division is carried out in described target area, described target area is divided into some subregions; Described subregion is carried out to rescan, obtain the failure code of the subregion of target;
4) after the failure code of all subregions that obtain is integrated, be sent to long-range cloud computing machine.
2. a kind of fault location algorithm based on Bayesian formula according to claim 1, is characterized in that, described fault location algorithm is based on JAVA, C Plus Plus.
3. a kind of fault location algorithm based on Bayesian formula according to claim 1, is characterized in that, described target area is divided into 4 sub regions.
CN201510976905.7A 2015-12-23 2015-12-23 Bayes formula-based fault location algorithm Pending CN105608320A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201510976905.7A CN105608320A (en) 2015-12-23 2015-12-23 Bayes formula-based fault location algorithm

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201510976905.7A CN105608320A (en) 2015-12-23 2015-12-23 Bayes formula-based fault location algorithm

Publications (1)

Publication Number Publication Date
CN105608320A true CN105608320A (en) 2016-05-25

Family

ID=55988251

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201510976905.7A Pending CN105608320A (en) 2015-12-23 2015-12-23 Bayes formula-based fault location algorithm

Country Status (1)

Country Link
CN (1) CN105608320A (en)

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20050160324A1 (en) * 2003-12-24 2005-07-21 The Boeing Company, A Delaware Corporation Automatic generation of baysian diagnostics from fault trees
CN101714928A (en) * 2008-10-07 2010-05-26 中兴通讯股份有限公司 Method and system for realizing fault detection and location of communication products

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20050160324A1 (en) * 2003-12-24 2005-07-21 The Boeing Company, A Delaware Corporation Automatic generation of baysian diagnostics from fault trees
CN101714928A (en) * 2008-10-07 2010-05-26 中兴通讯股份有限公司 Method and system for realizing fault detection and location of communication products

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
周兴利: "电控柴油机故障智能诊断研究", 《中国博士学位论文全文数据库-工程科技II辑》 *
宗剑等: "基于贝叶斯公式的配电网故障区段定位方法", 《电力系统及其自动化学报》 *
苏宏升: "软计算方法及其在电力系统故障诊断中的若干应用研究", 《中国博士学位论文全文数据库-工程科技II辑》 *

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Application publication date: 20160525