CN110361687A - A kind of electric power metering system fault testing method - Google Patents
A kind of electric power metering system fault testing method Download PDFInfo
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R35/00—Testing or calibrating of apparatus covered by the other groups of this subclass
- G01R35/04—Testing or calibrating of apparatus covered by the other groups of this subclass of instruments for measuring time integral of power or current
Abstract
The present invention relates to a kind of electric power metering system fault testing methods, comprising the following steps: step S1: according to electric power metering system structure to be measured, building multi-signal flow graph；Step S2: according to obtained multi-signal flow graph, fault test correlation matrix is calculated；Step S3: according to the fault test correlation matrix being calculated, fault verification is carried out to electric power metering system measurement result to be measured.Test method of the present invention, fault test is high-efficient, accuracy rate is high.
Description
Technical field
The present invention relates to metering system fault test technical fields, are related to a kind of electric power metering system fault testing method.
Background technique
With sharply increasing for electricity consumption, traditional manpower electric power metering system is no longer satisfied existing demand.Therefore,
Under the support of computer networking technology, there is electric power metering system, electric power metering system can be realized automation voltameter
It calculates and monitors.But the influence of the damage due to electronic component, human factor, environmental factor etc., cause metering system may
It will appear failure.And if for the investigation of this failure only rely upon manual analysis judgement be it is far from being enough, there are efficiency
It is low, and the problem that accuracy rate is low.
Summary of the invention
In view of this, solving existing skill the purpose of the present invention is to provide a kind of electric power metering system fault testing method
The technical problem that system failure measurement efficiency is low, accuracy rate is low is measured in art.
To achieve the above object, the present invention adopts the following technical scheme:
A kind of electric power metering system fault testing method, comprising the following steps:
Step S1: according to electric power metering system structure to be measured, multi-signal flow graph is built；
Step S2: according to obtained multi-signal flow graph, fault test correlation matrix is calculated；
Step S3: according to the fault test correlation matrix being calculated, to electric power metering system measurement result to be measured into
Row fault verification.
Further, the step S1 specifically:
Step S11: electric power metering system to be measured correspondence is divided by several modules according to fault location；
Step S12: the testability information of electric power metering system to be measured is collected；
Step S13: it is divided and multi-signal flow graph described in testability information architecture according to module.
Further, the step S2 specifically:
Step S21: the adjacency matrix of metering system is obtained according to the multi-signal flow graph；
Step S22: reachability matrix is calculated according to obtained adjacency matrix；
Step S23: complete failure correlation matrix is obtained according to the reachability matrix；
Step S24: according to the complete failure correlation matrix computing function failure correlation matrix；
Step S25: in conjunction with the complete failure correlation matrix and functional fault correlation matrix, fault test is calculated
Correlation matrix.
Further, the adjacency matrix specifically:
Wherein, A (G)=aijFor the adjacency matrix, G=(V, E) is multi-signal flow graph, V={ v1,v2,v3,...vnBe
The node set of multi-signal flow graph, node set include Module nodes and test node, E={ < vi,vj>|vi∈V,vj∈V}
For the oriented line set of multi-signal flow graph, viFor i-th of node, v in node setjFor j-th of node in node set, i=1,
2,3 ... n, j=1,2,3 ... n, i ≠ j, n are node total number.
Further, the reachability matrix, specifically:
Wherein, P (G)=pijFor the reachability matrix.
Further, the step S23 specifically: test node in the reachability matrix is replaced with into corresponding test,
Obtain the complete failure correlation matrix.
Further, the step S24 specifically: in complete failure correlation matrix with accessibility Module nodes with
Test is judged, judges whether the Module nodes have identical signal with corresponding test set, if there is then enabling the function
It is 1 that corresponding failure node, which is expert at the element of corresponding test node column, in failure correlation matrix, is otherwise 0, to described
Each element is analyzed one by one in functional fault correlation matrix obtains the functional fault correlation matrix.
Further, the step S25 specifically: according to the complete failure correlation matrix and the functional fault phase
It closes matrix and analyzes each Module nodes one by one, such as i.e. complete failure may occur may occur functional fault to the Module nodes again,
Then merge respective element in the complete failure correlation matrix and the functional fault correlation matrix；Only such as the Module nodes
Complete failure may occur, then extract respective element in the complete failure correlation matrix；As the Module nodes are only possible to send out
Raw functional fault, then extract respective element in the functional fault correlation matrix.
Further, the step S3 further include: according to the testability index of fault test correlation matrix calculation failure,
And failure measure is evaluated according to testability index.
Compared with the prior art, the invention has the following beneficial effects:
The present invention describes metering system using multi-signal flow graph, includes the various failures in metering system, test, signal
Deng it describes the relationship between test and failure.Fault test correlation matrix is calculated according to multi-signal flow graph, according to event
The fault test to metering system can be completed in barrier test correlation matrix.The present invention has testing efficiency height, accuracy rate high
Technical effect.
Detailed description of the invention
Fig. 1 is the method for the present invention flow chart；
Fig. 2 is the metering system structural schematic diagram in one embodiment of the invention；
Fig. 3 is the structural schematic diagram of one embodiment of electronic mutual inductor in one embodiment of the invention；
Fig. 4 is the structural schematic diagram of one embodiment of module on the spot in one embodiment of the invention；
Fig. 5 is the structural schematic diagram of one embodiment of GPS module in one embodiment of the invention；
Fig. 6 is the structural schematic diagram of one embodiment of digital electric energy meter in one embodiment of the invention.
Specific embodiment
The present invention will be further described with reference to the accompanying drawings and embodiments.
Fig. 1 is please referred to, the present invention provides a kind of electric power metering system fault testing method, comprising the following steps:
Step S1: according to electric power metering system structure to be measured, multi-signal flow graph is built；
Step S2: according to obtained multi-signal flow graph, fault test correlation matrix is calculated；
Step S3: according to the fault test correlation matrix being calculated, to electric power metering system measurement result to be measured into
Row fault verification.
In the present embodiment, the step S1 specifically:
Step S11: electric power metering system to be measured correspondence is divided by several modules according to fault location；
Step S12: the testability information of electric power metering system to be measured is collected；The system testing information is primarily referred to as
Unite structural information, each module port information, test and the test node information of each module divided, the link information of each module,
The failure mode information of signal transmission direction and each module.
Step S13: it is divided and multi-signal flow graph described in testability information architecture according to module.Each modular structure information of system
System, can specifically be divided into including subsystem, LRU, LRM, SRU, module etc. by the composed structure of system when for illustrating modeling；This
Each level of a little unit correspondence systems is considered as system level level in modeling, is convenient for fault location and isolation.
Each module port information is used to illustrate the tool of each module of system itself or detail analysis unit input/output port
Body distribution and the corresponding transmission signal in port；By the transmission signal on clear illustraton of model province port and port, it can determine and be
It unites the relationship of failure transmitting between each comprising modules.
Test and test node information are for obtaining detection module failure；Test node information is used for isolation module failure；
By carrying out the fault message of the available test of fault test in corresponding test node, to establish between test and failure
Correlativity.
The link information of each module is used to illustrate the interconnecting relation between each module of system.It can be produced by link information
Product each unit such as subsystem, LRU, LRM, the signal transitive relation between SRU, module etc..
Failure mode information is the adequate condition that system carries out testability modeling.Obtain passing through for system failure mode information
Fail-safe analysis obtains system FEMA report, and wherein FEMA report mainly includes fault mode and failure effect；Obtaining FEMA
During report, in conjunction with system multi-signal flow graph modeling work demand, for do not meet its requirement should modify or
Person abandons, and can directly quote for satisfactory, supplement the attribute lacked；And then sophisticated systems testability information.
After the collection for completing testability information, according to module and testability information architecture multi-signal flow graph.
The present embodiment develops a Computer Aided Modeling software Teams using U.S. DSP company, which will
Modeling method and related algorithm be integrated in one be easy to user management and a certain interface that uses in, to complication system multi signal stream
Reconstruct, verifying and the modification of graph model provide advantage.Its main function of modeling software is to the testability information being collected into
It graphically shows, so that multi-signal flow graph is intuitively shown.
In the present embodiment, the step S2 specifically:
Step S21: the adjacency matrix of metering system is obtained according to the multi-signal flow graph；
Step S22: reachability matrix is calculated according to obtained adjacency matrix；
Step S23: complete failure correlation matrix is obtained according to the reachability matrix；
Step S24: according to the complete failure correlation matrix computing function failure correlation matrix；
Step S25: in conjunction with the complete failure correlation matrix and functional fault correlation matrix, fault test is calculated
Correlation matrix.
Signal flow diagram model mainly includes three big elements of failure, signal and test.Failure refers to system component units
Failure mode, failure may come from system, system module or a certain specific element, when carrying out model foundation, system
Failure mode corresponds to locating module rank；Only consider that single failure, i.e. synchronization are most when carrying out multi-signal flow graph modeling
Only a kind of fault mode occurs, this to set since the case where often occurring single failure mode in Practical Project is more
It is reasonable for setting.Fault mode is classified according to coverage, can be divided into complete failure and functional fault；Complete failure refers to failure
The module that not only failure can occur after generation has an impact, such as operation irregularity, hardware damage etc., and will affect it
The normal operation of his module, the more serious operation exception that will lead to whole system, complete failure mode are indicated with symbol；Function
Failure is then with complete failure on the contrary, module generation functional fault, only will affect the operation of the module, but not influence other moulds
The normal operation of block or whole system, negative effect is negligible, and functional fault mode is indicated with symbol；This is preferred real
It applies example and complete failure correlation matrix and functional fault correlation matrix is obtained according to multi signal flow chart, then in conjunction with complete failure
Correlation matrix and functional fault correlation matrix calculate fault test correlation matrix.Signal indicates system, module abnormal work
Feature can indicate with quantitative parameter, can also qualitatively feature description indicating；The associated object of signal can be member
Part, module, are also possible to system；Signal is the tool between connecting fault and test, with S come table in multi-signal flow graph model
Show.Test, which refers to, is observed trouble unit, related to signal, and test is able to detect that signal when failure occurs, and is located at
On the test node that system testing is arranged when designing, a test node can have a test also to have multiple tests, same
A test can also be used for multiple test nodes, and the main purpose of testability design is to ensure that the setting side of test and test node
Case is the most reasonable, design efficiently, succinct can maximumlly realize the detection of failure be isolated, reduce fault diagnosis at
This.
In the present embodiment, the adjacency matrix specifically:
Wherein, A (G)=aijFor the adjacency matrix, G=(V, E) is multi-signal flow graph, V={ v1,v2,v3,...vnBe
The node set of multi-signal flow graph, node set include Module nodes and test node, E={ < vi,vj>|vi∈V,vj∈V}
For the oriented line set of multi-signal flow graph, viFor i-th of node, v in node setjFor j-th of node in node set, i=1,
2,3 ... n, j=1,2,3 ... n, i ≠ j, n are node total number.
In the present embodiment, the reachability matrix, specifically:
Wherein, P (G)=pijFor the reachability matrix.
In the present embodiment, the step S23 specifically: as reachable in having between the test node and Module nodes
Property, then accessibility is all had between a variety of tests that the test node includes and the Module nodes, by the accessibility square
Test node replaces with corresponding test in battle array, obtains the complete failure correlation matrix.
According to the reachability matrix being calculated, it can be seen that the accessibility relation between each node of system, accessibility section
Relationship between point shows the relationship between system testing node and Module nodes；Each test section in multi-signal flow graph model
Point all includes a variety of tests, if there is accessibility relation between test node and Module nodes, each test that test node includes
Also there is accessibility relation with Module nodes；According to reachability matrix between each node of system, test node correspondence is replaced with into survey
Examination, correspondence can obtain the complete failure correlation matrix of relationship between description test and failure.
In the present embodiment, the step S24 specifically: to the module section in complete failure correlation matrix with accessibility
Point is judged judge whether the Module nodes have identical signal with corresponding test set with test, described if there is then enabling
It is 1 that corresponding failure node, which is expert at the element of corresponding test node column, in functional fault correlation matrix, is otherwise 0, right
Each element is analyzed one by one in the functional fault correlation matrix obtains the functional fault correlation matrix.
According to the analysis of the calculated result of complete failure correlation matrix it is found that if there is accessibility relation between failure and test
When, corresponding element is 1 in matrix, compares whether the Module nodes in test system model and corresponding test set signal have identical letter
Number, if there is identical signal, then the row in system function correlation matrix where the malfunctioning node with where corresponding test node
The corresponding element value of column be 1, otherwise its element value is 0, and carrying out analysis one by one to element can be obtained the functional fault of system
Correlation matrix.
In the present embodiment, the step S25 specifically: according to the complete failure correlation matrix and function event
Barrier correlation matrix analyzes each Module nodes one by one, and such as complete failure, which may occur, for the Module nodes again may occur function event
Barrier, then merge respective element in the complete failure correlation matrix and the functional fault correlation matrix；Such as the module section
Point is only possible to that complete failure occurs, then extracts respective element in the complete failure correlation matrix；Only such as the Module nodes
Functional fault can occur, then extract respective element in the functional fault correlation matrix.
The attribute of each module of analysis system, it is possible to the fault type of generation.For complete failure may not only occur, but also can
The Module nodes that functional fault can occur bring together its corresponding two kinds of fault message, for being only possible to that function occurs
The source of trouble of failure only needs the information in abstraction function failure correlation matrix, for being only possible to that the source of trouble of complete failure occurs
The information that complete failure correlation matrix need to be extracted just obtains the multi-signal flow graph model of system in conjunction with the information of all sources of trouble
Fault test correlation matrix, i.e., follow-on correlation matrix.
In the present embodiment, the step S3 further include: according to the testability of fault test correlation matrix calculation failure
Index, and failure measure is evaluated according to testability index.
It needs to carry out testability analysis for multi-signal flow graph model to obtain testability index, judges that testability designs
Quality.Redundancy testing, do not detect failure, ambiguity group is testability analysis important feature, these characteristic informations can directly be seen
Examine out the deficiency of testability design；Fault detection rate and Percent Isolated are the important indicator parameters of testability analysis, these
Parameter shows the quality of testability design in quantitative mode, and testability can be obtained by calculating fault test correlation matrix and refer to
Mark.
With reference to Fig. 2, electric power metering system electronic mutual inductor, on the spot module, GPS module, digital electric in the present embodiment
Can the big module composition of table three, the transmitting of data is completed by fiber unit between each module；
The device that electronic mutual inductor is acquired as metering system data, reliably working are metering system stable operation
Important prerequisite is converted after electronic mutual inductor obtains implementation data in high-pressure side by A/D, and digital signal is obtained, and signal passes through
Optical fiber transmission module is sent to module on the spot；According to electronic mutual inductor function division, four module, including high-pressure side can be subdivided into
Sensing unit, data processing module, power supply module；Its structural block diagram is as shown in Figure 3.
Metering system its processing for being mainly responsible for data of module and collection on the spot；Synchronization unit obtains external synchronization clock letter
Number, send the synchronized sampling that data reception module carries out data to, data are transmitted to data processing module, data by optical fiber interface
Processing module handles data sends data transmission unit to again；Data transmission unit transfers data to major network；According to
Functions of modules divides on the spot, can be divided into data receipt unit, data processing unit, data transmission unit, synchronization unit, power supply list
Member；Its structural block diagram is as shown in Figure 4.
GPS module mainly generates pulse signal and is supplied to module use on the spot, and GPS receiver first receives satellite and sends
GPS signal, generate synchronization signal using GPS synchronous timing signal generator and be sent to the modules of needs；Its structural block diagram is such as
Shown in Fig. 5.
Digital electric energy meter mainly realizes the functions such as electrical energy measurement in intelligent substation, logout and distant place communication；
Data receipt unit realizes that the data that data receipt unit receives module outflow on the spot carry out protocol conversion, data using FPGA
It is transmitted to data processing and display unit, carries out the calculating of electric energy, the data having been calculated can be stored into memory, for measuring people
Member, which extracts, to be used, and can also be directly displayed on a display screen；It is divided by function, can mainly be divided into data receipt unit, data
Processing and display unit, power supply unit；Specific structure is as shown in Figure 6.
Collect the testability information of metering system.
(1) system failure source C={ C1,C2,...,C17}
By analyzing the overall structure discovery of metering system, metering system most common failure source includes: C1: electronic mutual inductor
Sensing unit；C2: electronic mutual inductor signal processing unit；C3: optical fiber transmission unit 1；C4: optical fiber transmission unit 2；C5: optical fiber
Transmission unit 3；C6: optical fiber transmission unit 4；C7: optical fiber transmission unit 5；C8: electronic mutual inductor power supply unit；C9: mould on the spot
Block synchronization unit；C10: module data transmission unit on the spot；C11: module data processing unit on the spot；C12: module for power supply list on the spot
Member；C13: module data transmission unit on the spot；C14: GPS module；C15: digital electric energy meter power supply unit；C16: digital electric power
Table data processing and display unit；C17: digital electric energy meter receiving unit.
(2) system failure mode is analyzed
Failure Mode Effective Analysis (failure modes and effects is carried out to metering system first
Analysis, FMEA), i.e., by network analysis determine each module design or manufacture be all failures being likely to occur and
Local influence and global impact brought by failure, mutual inductor are the hinges of metering system, and due to installing outdoors, therefore
It is also higher to hinder incidence；Its FEMA table is as shown in table 1；
Its mulual inductor malfunction mode influences is analyzed in 1 metering system of table
Optical fiber transmission module is mainly responsible for the transmission of internal system data and signal, and the part of easy failure essentially consists in light
Fine internal, its FEMA table of optical fiber transmission module is as shown in table 2；
Its optical fiber transmission module Failure Mode Effective Analysis in 2 metering system of table
GPS module, which is mainly responsible for, provides pulse per second (PPS) for system synchronization and sampling, and GPS module occurs compared with other module failures
Rate is lower, and FEMA table is as shown in table 3；
Its GPS module Failure Mode Effective Analysis in 3 metering system of table
Module is responsible for the collection and processing of data on the spot, and electric current, voltage data are acquired by mutual inductor and unify to receive in power grid
For collection to module on the spot, module is responsible for the conversion and processing of data protocol on the spot, is sent to major network；Its FEMA table of module on the spot
As shown in table 4；
Its in 4 metering system of table on the spot analyze by module failure mode influences
Digitalized electrical energy meter main function is the calculating and display of user power consumption, and the data of major network are calculated
Obtain for electricity consumption degree and be shown to user；Its FEMA table of digitalized electrical energy meter is as shown in table 5；
Its digitalized electrical energy meter Failure Mode Effective Analysis in 5 metering system of table
Specifically carry out metering system testability modeling when, by fault location into subsystem each unit rank, in conjunction with it
The preceding Failure Mode Effective Analysis to module each in system considers it to each unit bring actual influence.Practical modeling is fallen into a trap
Amount system each unit failure mode and effect analysis is as shown in table 6.
6 system each unit failure mode and effect analysis of table
(3) system testing and test node design
For metering system, main test node include each device data input, output interface, synchronization signal input,
Output interface, carrying out voltage detecting to each device power supply module in addition ensures the steady operation of each device；Data are carried out each
Kind of analysis test, such as stress_responsive genes, integrity test, dispersion test, the test of first cycle etc., and then for synchronization signal
The reception and sending of Main Analysis synchronization signal, clock synchronization test the synchronous signal receiver no problem of each device of guarantee system, can be real
Existing system is synchronous；In addition to external each test ensures that integrality of the data in transmission process, internal system also devise very much
Corresponding test, corresponding fault-signal can directly react on device.
Metering system is integrated system of the substation due to calculating user power utilization situation, mainly includes acquiring for data
Electronic mutual inductor, the electronic electric energy meter that is shown for the polar region module of data processing transmission, for data and be used for
Synchronous synchronization signal generating apparatus.It is collected according to the information to metering system dependent failure mode, test node design conditions,
In conjunction with actual conditions, using the testability modeling of the complete paired systems of TesLab-Designer.
Metering system fault test can be obtained as shown in table 7 in conjunction with the relationship between metering system test and test node
Correlation matrix is specifically shown in Table 8.
7 test node of table and test corresponding relationship
8 metering system failure of table-test correlation matrix
(4) metering system testability index is calculated and is analyzed
The testability analysis of metering system is all based on single fault mode, i.e. a failure only occurs for synchronization；Right
After model distributes signal and test, obtains system and survey fault test correlation matrix, based on correlation matrix to being established
Metering system test model carry out static analysis.It can be seen that system testing design from testability static analysis not deposit
Failure, redundancy testing and ambiguity group are not being detected, sufficiently show that test selection meets the requirement of system testing design.
From the fault test correlation matrix of metering system, also observable goes out, and fault test correlation matrix does not have full 0 row,
The presence of full 0 column, the element between every row is not fully identical, equally illustrates that the test of system design is not deposited with test node
Failure, redundancy testing and ambiguity group are not being detected；It calculates fault detection rate and Percent Isolated is available:
Fault detection rate: FDR=100%；
Percent Isolated: FIR=100%.
The foregoing is merely presently preferred embodiments of the present invention, all equivalent changes done according to scope of the present invention patent with
Modification, is all covered by the present invention.
Claims (9)
1. a kind of electric power metering system fault testing method, which comprises the following steps:
Step S1: according to electric power metering system structure to be measured, multi-signal flow graph is built；
Step S2: according to obtained multi-signal flow graph, fault test correlation matrix is calculated；
Step S3: according to the fault test correlation matrix being calculated, event is carried out to electric power metering system measurement result to be measured
Barrier determines.
2. a kind of electric power metering system fault testing method according to claim 1, which is characterized in that the step S1 tool
Body are as follows:
Step S11: electric power metering system to be measured correspondence is divided by several modules according to fault location；
Step S12: the testability information of electric power metering system to be measured is collected；
Step S13: it is divided and multi-signal flow graph described in testability information architecture according to module.
3. a kind of electric power metering system fault testing method according to claim 1, which is characterized in that the step S2 tool
Body are as follows:
Step S21: the adjacency matrix of metering system is obtained according to the multi-signal flow graph；
Step S22: reachability matrix is calculated according to obtained adjacency matrix；
Step S23: complete failure correlation matrix is obtained according to the reachability matrix；
Step S24: according to the complete failure correlation matrix computing function failure correlation matrix；
Step S25: in conjunction with the complete failure correlation matrix and functional fault correlation matrix, fault test correlation is calculated
Matrix.
4. a kind of electric power metering system fault testing method according to claim 1, which is characterized in that the adjacency matrix
Specifically:
A (G)=aij,
Wherein, A (G)=aijFor the adjacency matrix, G=(V, E) is multi-signal flow graph, V={ v1,v2,v3,...vnIt is more letters
The node set of number flow graph, node set includes Module nodes and test node, E={ < vi,vj>|vi∈V,vj∈ V } it is more
The oriented line set of signal flow diagram, viFor i-th of node, v in node setjFor j-th of node in node set, i=1,2,
3 ... n, j=1,2,3 ... n, i ≠ j, n are node total number.
5. a kind of electric power metering system fault testing method according to claim 1, which is characterized in that the accessibility square
Battle array, specifically:
P (G)=pij,
Wherein, P (G)=pijFor the reachability matrix.
6. a kind of electric power metering system fault testing method according to claim 1, which is characterized in that the step S23 tool
Body are as follows: test node in the reachability matrix is replaced with into corresponding test, obtains the complete failure correlation matrix.
7. a kind of electric power metering system fault testing method according to claim 1, which is characterized in that the step S24 tool
Body are as follows: the Module nodes in complete failure correlation matrix with accessibility are judged with test, judge the Module nodes
Whether there is identical signal with corresponding test set, if there is then enabling in the functional fault correlation matrix where corresponding failure node
Row is 1 with the element of corresponding test node column, is otherwise 0, divides one by one each element in the functional fault correlation matrix
Analysis obtains the functional fault correlation matrix.
8. a kind of electric power metering system fault testing method according to claim 1, which is characterized in that the step S25 tool
Body are as follows: each Module nodes are analyzed according to the complete failure correlation matrix and the functional fault correlation matrix one by one, such as institute
Functional fault may be occurred again by stating Module nodes i.e. complete failure may occurring, then merge the complete failure correlation matrix and
Respective element in the functional fault correlation matrix；If the Module nodes are only possible to that complete failure occurs, then extract described complete
Respective element in total failure correlation matrix；If the Module nodes are only possible to that functional fault occurs, then the functional fault is extracted
Respective element in correlation matrix.
9. electric power metering system fault testing method according to claim 1, which is characterized in that the step S3 is also wrapped
It includes: evaluating fault test knot according to the testability index of fault test correlation matrix calculation failure, and according to testability index
Fruit.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112904239A (en) * | 2019-11-19 | 2021-06-04 | 中国商用飞机有限责任公司 | Cable conduction network determining method and device, storage medium and equipment |
| CN112926824A (en) * | 2021-01-20 | 2021-06-08 | 中国科学院微电子研究所 | Fault diagnosis method for laser processing equipment |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102735238A (en) * | 2012-06-18 | 2012-10-17 | 北京控制工程研究所 | Relevance model based infrared earth sensor measuring point optimal configuration method |
| CN108280306A (en) * | 2018-01-30 | 2018-07-13 | 南京航空航天大学 | Repair troubleshooting method based on TFM three-dimensional information flow models |
-
2019
- 2019-07-05 CN CN201910607537.7A patent/CN110361687A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102735238A (en) * | 2012-06-18 | 2012-10-17 | 北京控制工程研究所 | Relevance model based infrared earth sensor measuring point optimal configuration method |
| CN108280306A (en) * | 2018-01-30 | 2018-07-13 | 南京航空航天大学 | Repair troubleshooting method based on TFM three-dimensional information flow models |
Non-Patent Citations (1)
| Title |
|---|
| 廖恒: "基于多信号模型的系统可测性设计分析研究与实现", 《中国优秀硕士学位论文全文数据库 科技信息辑》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112904239A (en) * | 2019-11-19 | 2021-06-04 | 中国商用飞机有限责任公司 | Cable conduction network determining method and device, storage medium and equipment |
| CN112926824A (en) * | 2021-01-20 | 2021-06-08 | 中国科学院微电子研究所 | Fault diagnosis method for laser processing equipment |
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