CN102914737A - Network fault diagnosis method for complex circuit - Google Patents
Network fault diagnosis method for complex circuit Download PDFInfo
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- CN102914737A CN102914737A CN2012103785387A CN201210378538A CN102914737A CN 102914737 A CN102914737 A CN 102914737A CN 2012103785387 A CN2012103785387 A CN 2012103785387A CN 201210378538 A CN201210378538 A CN 201210378538A CN 102914737 A CN102914737 A CN 102914737A
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Abstract
The invention provides a network fault diagnosis method for a complex circuit. According to the network fault diagnosis method, branches and parameters in a complex electric network are used as research objects; an electric network reference model is constructed by using a linear model for constructing a diagnosis equation, positioning faults and valuing the faults; and system fault data is generated by using a data replacing method, and thus the detection and the identification of faults of the electric network system are realized. According to the fault diagnosis method, as shown by the experimental result, fault branches in the complex electric network can be accurately detected.
Description
Technical field
The present invention relates to a kind of method for diagnosing faults of complicated circuit network.Belong to electronic circuit and communication technical field.
Technical background
Along with the develop rapidly of electronic technology, the Nomenclature Composition and Structure of Complexes of electronic equipment becomes and becomes increasingly complex, and most of complex electronic equipments are mixed by analogy and digital circuit and form.Therefore, day by day urgent to the requirement of complicated circuit measurability and analysis, however the fault diagnosis that far lags behind digital circuit about theory and the method for analog circuit fault diagnosing in the reality is for the troubleshooting issue of large-scale complex power grid network.This paper proposes a kind of new electric network method for diagnosing faults, with the branch road in the complex electric network network and parameter as research object, utilize inearized model structure electric network reference model, carry out diagnostic equation structure, localization of fault, fault parametrs identification, for change method generation system fault data, realize detection and identification to the electric network system failure with data.Experimental result shows, this method for diagnosing faults can accurately detect the fault branch in the complex electric network network, has verified the validity of method.
Summary of the invention
The invention provides a kind of complex electric network network method for diagnosing faults, with the branch road in the complex electric network network and parameter as research object, utilize inearized model structure electric network reference model, carry out diagnostic equation structure, localization of fault,, fault parametrs identification, for change method generation system fault data, realize detection and identification to the electric network system failure with data.Experimental result shows, this method for diagnosing faults can accurately detect the fault branch in the complex electric network network.
For achieving the above object, the technical scheme that the present invention takes is: the diagnostic equation structure
Can reach the Injection Current vector I of end and can reach end node voltage vector U and be respectively
I＝[I
1，I
2...，I
m]
T
U＝[U
1，U
2...，U
m]
T
The electricity of N inside is led, electric current, voltage are denoted as respectively g
k, i
k, u
k
By Substitution Theoren, the Δ g in the fault network
kBranch road can replace with current source, the electric current Δ i of current source
kBe exactly Δ g
kIn electric current, namely
Δi
k＝-Δg
k(u
k+Δu
k)
ΔU＝R
mΔj
Δ j is unknown vector, and following formula is diagnostic equation.
Network can be regarded as (m+b) port, and each can and be held reference mode is formed a port, and M port only contains the Linear Time Invariant element among the N1 altogether, and this multiport is reciprocity, for
Localization of fault
The electric network N of a M port, it is made of two end electronic components, and the connection level mode of electronic component is as shown in the figure; If the value of only a few element changes in the electric network, fault has namely appearred, remove to judge which element fault according to the measurement result of port current, voltage, be the element location.
Diagnostic equation formula (2) is m algebraic equation, and unknown quantity Δ j has b component, diagnosis algorithm.
(1) if f=1, i.e. branch trouble, establishing fault branch is k, diagnostic equation becomes:
ΔU＝R
mΔj＝r
kΔj
k
Check R
mRow whether parallel with Δ U, if such row are arranged, namely try to achieve fault branch.
(2) if (1) does not have fault, f=2 then, time from R
mMiddle taking-up two row check whether set up, if such row are arranged, namely try to achieve fault branch.
Fault parametrs identification
Change amount by localization of fault and then definite fault element value is fault parametrs identification.
If having determined branch road k, h is the fault branch road, solve Δ j by formula
k, Δ j
h, then can calculate u
k+ Δ u
kAnd u
h+ Δ u
h, obtain again Δ g
kWith Δ g
h, i.e. the conductance increment of fault branch.
Technique effect of the present invention: the invention provides a kind of complex electric network network method for diagnosing faults, with the branch road in the complex electric network network and parameter as research object, utilize inearized model structure electric network reference model, carry out diagnostic equation structure, localization of fault, fault parametrs identification, replace change method generation system fault data with data, realization is to detection and the identification of the electric network system failure, and experimental result shows, this method for diagnosing faults can accurately detect the fault branch in the complex electric network network.
Description of drawings
Fig. 1 is complex electric network network model;
Fig. 2 is electric network circuit theory diagrams among the embodiment;
Embodiment
Embodiment:
Suppose that branch number represents resistance value simultaneously in diagram 2 circuit, node (1,3,4) is accessible node, m=3; Other is unreachable node, makes [I
1, I
3, I
4] be respectively [1,0,0], [0,1,0] and 0,0,1.
Then can calculate R
m
(a) resistance of establishing branch road 4 increases to 6 Ω by 4 Ω, and the resistance of branch road 5 increases to 10 Ω by 5 Ω, then can calculate Δ g
4, Δ g
5, further can calculate Δ U.
(b) establish f=1, Δ U and R
mAny row disproportionate, then be false;
(c) establish f=2, can obtain
rank(r
3，r
4)＝rank(r
3，r
4，ΔU)＝2
(d) calculate the variation that each possible breakdown electricity is led;
(e) the fault branch collection of looking for the truth
ΔU＝[0.04，1.6，0.9]
T
Compare with top result of calculation, can obtain branch road 4.5 and be fault branch.
The present invention proposes a kind of new electric network method for diagnosing faults, with the branch road in the complex electric network network and parameter as research object, utilize inearized model structure electric network reference model, replace change method generation system fault data with data, realization is to detection and the identification of the electric network system failure, experimental result shows, this method for diagnosing faults can accurately detect the fault branch in the complex electric network network.
Claims (6)
1. complex electric network network method for diagnosing faults, it is characterized in that: the method at first is as research object with the branch road in the complex electric network network and parameter, utilize inearized model structure electric network reference model, carry out diagnostic equation structure, localization of fault, fault parametrs identification, for change method generation system fault data, realize detection and identification to the electric network system failure with data.Experimental result shows, this method for diagnosing faults can accurately detect the fault branch in the complex electric network network.
2. method according to claim 1 is characterized in that, the diagnostic equation structure:
Can reach the Injection Current vector I of end and can reach end node voltage vector U and be respectively
I＝[I
1，I
2...，I
m]
T
U＝[U
1，U
2...，U
m]
T
The electricity of N inside is led, electric current, voltage are denoted as respectively g
k, i
k, u
k
3. method according to claim 1 is characterized in that, according to Substitution Theoren, and the Δ g in the fault network
kBranch road can replace with current source, the electric current Δ i of current source
kBe exactly Δ g
kIn electric current, namely
Δi
k＝-Δg
k(u
k+Δu
k)
ΔU＝R
mΔj
Δ j is unknown vector, and following formula is diagnostic equation.
4. method according to claim 2 is characterized in that, network can be regarded as (m+b) port, and each can and be held reference mode is formed a port, and M port only contains the Linear Time Invariant element among the N1 altogether, and this multiport is reciprocity, for
5. method according to claim 1 is characterized in that, localization of fault:
The electric network N of a M port, it is made of two end electronic components, and the connection level mode of electronic component is established the value change of only a few element in the electric network as shown in the figure, fault namely occurred, and according to port current, which element fault is the measurement result of voltage remove to judge.
Diagnostic equation formula (2) is m algebraic equation, and unknown quantity Δ j has b component, and diagnosis algorithm is:
(1) if f=1, i.e. branch trouble, establishing fault branch is k, diagnostic equation becomes
ΔU＝R
mΔj＝r
kΔj
k
Check R
mRow whether parallel with Δ U, if such row are arranged, namely try to achieve fault branch
(2) if (1) does not have fault, f=2 then, time from R
mMiddle taking-up two row check whether set up, if such row are arranged, namely try to achieve fault branch.
6. method according to claim 1 is characterized in that, by the change amount of localization of fault and then definite fault element value, fault parametrs identification is established and determined that branch road k, h are the fault branch roads, solve Δ j by formula
k, Δ j
h, then can calculate u
k+ Δ u
kAnd u
h+ Δ u
h, obtain again Δ g
kWith Δ g
h, i.e. the conductance increment of fault branch.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2012103785387A CN102914737A (en) | 2012-09-21 | 2012-09-21 | Network fault diagnosis method for complex circuit |
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|---|---|---|---|
| CN2012103785387A CN102914737A (en) | 2012-09-21 | 2012-09-21 | Network fault diagnosis method for complex circuit |
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Family
ID=47613186
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Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101216527A (en) * | 2007-12-29 | 2008-07-09 | 湖南大学 | On-line electronic circuit failure diagnosis method based on nerval net |
| CN101907681A (en) * | 2010-07-15 | 2010-12-08 | 南京航空航天大学 | Analog circuit dynamic online failure diagnosing method based on GSD-SVDD |
-
2012
- 2012-09-21 CN CN2012103785387A patent/CN102914737A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101216527A (en) * | 2007-12-29 | 2008-07-09 | 湖南大学 | On-line electronic circuit failure diagnosis method based on nerval net |
| CN101907681A (en) * | 2010-07-15 | 2010-12-08 | 南京航空航天大学 | Analog circuit dynamic online failure diagnosing method based on GSD-SVDD |
Non-Patent Citations (4)
| Title |
|---|
| 华炳生: "模拟电路故障诊断", 《科技创新导报》 * |
| 朱正国: "变电站接地网故障诊断的研究", 《广东电力》 * |
| 李纪敏等: "模拟电路k故障诊断理论的数学模型", 《现代电子技术》 * |
| 李纪敏等: "模拟线性电路的多故障诊断方法", 《火力与指挥控制》 * |
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Application publication date: 20130206 |