CN100514307C - Test cost-sensitive system failure position finding method and its device - Google Patents
Test cost-sensitive system failure position finding method and its device Download PDFInfo
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- CN100514307C CN100514307C CNB2006101617790A CN200610161779A CN100514307C CN 100514307 C CN100514307 C CN 100514307C CN B2006101617790 A CNB2006101617790 A CN B2006101617790A CN 200610161779 A CN200610161779 A CN 200610161779A CN 100514307 C CN100514307 C CN 100514307C
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Abstract
The invention discloses a system fault locating method for testing cost-sensitivity which includes: failure mode effect analysis is acted to a system to form a corresponding failure mode base which comprises fault forms, fault modes able to cause the fault mode, testing cost for each fault form and occurrence probability for each fault mode; then, a decision tree for ensuring a fault locating tree is obtained according to the testing cost for each fault form and the occurrence probability for each fault mode; finally, the decision tree is converted to the corresponding fault locating tree, and the system fault is analyzed and located through the fault locating tree. In this way, the invention solves the problems that the existing method cannot minimize the testing cost and the generated fault locating tree t relatively at the same time. The invention further discloses a system fault locating device.
Description
Technical field
The present invention relates to the communications field, particularly a kind of system fault locating method of test cost sensitivity and device thereof.
Background technology
For the communication electronic equipment, equipment failure is outwardness and takes place at random, causes the reason of equipment failure not only to comprise the hardware failure of device, also comprises the human operational error of equipment.When the complication system that is made of a plurality of assemblies breaks down, the maintainer often is stymied by, can't find the concrete reason that causes the system failure rapidly and accurately, thereby cause servicing time long too high with maintenance cost, this is unallowed for the high-availability system that communication apparatus is formed.Traditional Fault Locating Method mainly depends on the historical failure information of the long time integration and the equipment of maintenance personal's experience, find in practice, this method that depends on experience can only solve FAQs, for complication system or novel device, the method that depends on experience can't effectively be dealt with problems.In the equipment use, how rapidly and accurately the system failure to be navigated to Field Replaceable Unit (assembly), thereby improve the accuracy of localization of fault and the reliability of raising system, people are puzzlement for it always.
At present, in order to overcome the above problems, people have proposed many solutions, are exactly a kind of effective Fault Locating Method based on the localization of fault of decision tree tree wherein, its have high diagnosis, low misdiagnosis rate, to noise have robustness and positioning time fast this four big advantage.In existing technology, the generation of setting based on the localization of fault of decision tree mainly is based on manual type, or adopts some existing tree generation algorithms.
In the failure diagnostic process of reality, tend to obtain earlier some fault performances (being failure symptom), but also be not enough to determine phylogenetic fault according to these fault performances usually, in order to determine the root fault, also must carry out certain test to system equipment, these tests may be carried out automatically, also may manually carry out, some test is carried out than being easier to, some test is very difficult, some test is to need the normal operation of interrupt system business, some test be must the interrupt system business normal operation, the detection cost that is to say the performance of various faults is different, considers that in the generating algorithm of localization of fault tree the test cost of fault performance is very important, and the localization of fault tree that can make generation like this has a good balance on the size of locating tree and test cost.
Prior art has proposed the tree generation algorithm of much setting based on the localization of fault of decision tree.One class algorithm only considers to utilize the distribution situation of fault performance to make the localization of fault tree tree size minimum of final generation, as CART[1], ID3[2] and C4.5[3] etc., and do not consider the test cost problem of fault performance in the localization of fault process; Another kind of algorithm has considered to make localization of fault to set total cost minimum, promptly determine according to the test cost and the misclassification cost of integrated data when decision tree stops growing, but its emphasis is to judge the growth that when stops to set, and its criterion of selecting attribute to test is to make misclassification cost and test cost sum minimum.For the system that allows the erroneous judgement situation, this is a kind of tree generation algorithm of cost-sensitive preferably, but for the communication apparatus system, the cost of erroneous judgement is very serious.In such cases, owing to only considered the test cost of attribute, and consider to select the situation of Profit of the data message amount of the distribution situation decision that takes place by fault behind this attribute, the localization of fault that therefore generates tree can not make the test cost in the localization of fault process less.
Prior art discloses a kind of system fault locating method and device based on fault tree analysis, this method is by carrying out Failure Mode Effective Analysis to system, generate corresponding fault pattern base, carry out fault tree analysis according to this fault pattern base again and generate corresponding localization of fault tree; Described method may further comprise the steps when generating the localization of fault tree:
Steps A: arrange bottom event according to the probability of bottom event appearance and the complexity of location.The bottom event that probability of happening is bigger, easily the bottom event of location is placed on the front, and is probability of happening is less, be inconvenient to locate the bottom event that maybe can't locate and put behind.
Step B: intermediate event or bottom event and relevant detection means are write in the decision frame.Detection means represents with bracket, can't be carried out automatically and needed manually when confirming by software when detection means, need add in the beginning of detection means " artificial confirm: ", with as the information of pointing out diagnostic personnel.
Step C: diagnostic result and solution are write in the failure-description processing block.Solution needs also to represent with bracket that beginning simultaneously adds that " solution " pointed out.
Step D: corresponding prompt information is write in the information processing block.
The localization of fault tree that generates by said method is the model of binary tree, the output of judging action in the middle of each all should comprise "Yes" and two kinds of results of "No", otherwise be considered as incomplete action node, add the information processing block it is replenished complete, its content can be " normally " or in the time can't accurately judging the root fault corresponding prompt information.When needs carried out localization of fault, program finally obtained the failure-description processing block through different decision frames, and according to wherein diagnostic result and solution the root fault is handled accordingly from top event.
This method has proposed a good system localization of fault solution, but in realizing this procedure, though the inventor finds to have comprised by the fault pattern base that this inventive method generates the fault performance and the failure cause of system, but do not comprise test cost, therefore when generating corresponding localization of fault tree based on fault tree, just do not consider the problem of test cost yet at the performance of different fault.
On the other hand, this inventive method has only illustrated that bottom event that probability of happening is big and the bottom event of locating easily are placed on the front, probability of happening is less and be inconvenient to locate the bottom event that maybe can't locate and put behind, and do not mention if the bottom event of being inconvenient to locate during probability of happening Datong District, or corresponding processing scheme during the bottom event of location easily again of less while of probability of happening appears.This invention is not described further the method for selecting intermediate event in addition.
In sum, existing system is carried out the method for localization of fault, existence can't take into account make test cost minimum relatively with the relative minimum defective of localization of fault tree that makes generation.
Summary of the invention
Embodiments of the invention provide a kind of system fault locating method and device thereof of test cost sensitivity, be used to solve under the prior art, when system is carried out localization of fault, can't relatedly consider the test cost of localization of fault tree and the problem of the size that localization of fault is set.
The embodiments of the invention technical scheme is as follows:
A kind of system fault locating method of test cost sensitivity comprises:
System is carried out Failure Mode Effective Analysis and forms corresponding fault pattern base, and this fault pattern base comprises the fault performance, may cause the fault mode of fault performance, the test cost of every kind of fault performance and the probability of happening of every kind of fault mode;
According to the probability of happening of every kind of fault mode, and at least two kinds of metric parameter setting, at least two kinds of quantity of information gains accordingly generated;
Test cost according to described at least two kinds of quantity of information gain and described every kind of fault performance, generate at least two kinds of corresponding decision trees respectively, and from described two kinds of decision trees, select the decision tree that is used for determining the localization of fault tree at least, this decision tree makes the test cost of localization of fault tree and the ratio minimum of the quantity of information gain that localization of fault is set;
Described selected decision tree is converted to corresponding localization of fault tree, and by this localization of fault tree analyzing and positioning system failure.
A kind of system fault diagnosis device comprises:
Storage unit is used for the storage failure library, and described fault pattern base comprises the fault performance, may cause the fault mode of fault performance, the test cost of every kind of fault performance and the probability of happening of every kind of fault mode;
Communication module is used to realize the information interaction between system failure locating device and the tested object;
Processing module, be used for system is carried out Failure Mode Effective Analysis, form corresponding fault pattern base, and generate according to the probability of happening of the test cost of each fault performance in the described fault pattern base and each fault mode and to be used for determining decision tree of localization of fault tree and corresponding localization of fault tree;
Parsing module is used for the method for testing script and the solution script of resolve fault locating tree;
The localization of fault module is used for system being carried out fault analysis and location, and the fault mode of orienting being handled according to setting method of testing script and the solution script that parses by described localization of fault.
The beneficial effect of the embodiment of the invention is as follows:
The embodiment of the invention obtains to be used for the decision tree that definite localization of fault is set according to the test cost of every kind of fault performance and the probability of happening of every kind of fault mode earlier, according to testing scheme script and solution script described decision tree is converted to corresponding localization of fault tree then, like this, just make the ratio minimum of test cost and the quantity of information gain of this localization of fault tree of the localization of fault tree of generation, thereby reaching overall equilbrium aspect the testing procedure of setting in the test cost that reduces the localization of fault tree and minimizing localization of fault several two.
Description of drawings
Fig. 1 is a system fault diagnosis apparatus function structural drawing in the embodiment of the invention;
Fig. 2 is a decision tree logic structural drawing in the embodiment of the invention;
Fig. 3 is a localization of fault tree structure diagram in the embodiment of the invention;
Fig. 4 carries out the localization of fault process flow diagram in the embodiment of the invention to system.
Embodiment
In order to solve under the prior art, when communication system is carried out localization of fault, be difficult to find localization of fault tree minimum that makes generation and the best joint that makes minimum two aspects of test cost, the embodiment of the invention is by carrying out the failure-description that Failure Mode Effective Analysis obtains system to communication system, and information relevant in described failure-description and this system failure historical data base back that combines formed corresponding fault pattern base, described fault pattern base comprises the fault performance, the fault mode that may cause the fault performance, the test cost of every kind of fault performance and the probability of happening of every kind of fault mode; Then, according to the test cost of every kind of fault performance and the probability of happening of every kind of fault mode, generation is used for determining decision tree of localization of fault tree and corresponding localization of fault tree thereof; At last, by this localization of fault tree analysis, positioning system fault, and carry out diagnostic operation.
(Fault Modes and Effects Analysis is a kind ofly to study the fault mode that components of product may exist and determine the analysis method for reliability of each fault mode to the influence of other ingredients of product and product requirement function FMEA) to described Failure Mode Effective Analysis.
Described fault pattern base also comprises the relation table between the performance of every kind of fault and the every kind of fault mode.
Consult shown in Figure 1ly, in the present embodiment, the system fault diagnosis device comprises memory module 100, communication module 101, processing module 102, parsing module 103, localization of fault module 104 and Subscriber Interface Module SIM 105.Described memory module 100 is used to store system failure historical data base, the fault pattern base corresponding to each tested object, and various method of testing script and various solution script; Described communication module 101 is used for issuing test command to tested object, the test result that the acceptance test object returns or send diagnostic result to tested object; Described processing module 102 is used for that system is carried out FMEA and analyzes and form corresponding fault pattern base, then, generate corresponding decision trees and described decision tree is converted to corresponding localization of fault tree according to the test cost of each fault performance in the described fault pattern base and the probability of happening of each fault mode; Described parsing module 103 is used for the method for testing script and the solution script of resolve fault locating tree; Described localization of fault module 104 is used for according to described localization of fault tree system being carried out fault locating analysis and finishing diagnostic operation, and diagnostic result is recorded in the fault pattern base; Described Subscriber Interface Module SIM 105 is used for carrying out corresponding modify according to testing scheme script and solution script that user's instruction is set described localization of fault, perhaps the data in the described fault pattern base is carried out corresponding modify.
In the present embodiment, the system fault diagnosis device earlier carries out that FMEA analyzes and the failure-description that obtains system to system, and then information relevant in described failure-description and this system failure historical data base combined, form corresponding fault pattern base to determine the fault performance of system, the content that comprises in the described fault pattern base is shown in table 1, table 2:
Table 1
| Fault performance 1 | Fault performance 2 | Fault performance 3 | Fault performance 4 | Fault performance 5 | Fault performance 6 | Fault performance 7 | Fault performance 8 | Fault performance 9 | Fault performance 10 | Probability of happening (%) | |
| Fault mode 1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 6 |
| Fault mode 2 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 5 |
| Fault mode 3 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 15 |
| Fault mode 4 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
| Fault mode 5 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 20 |
| Fault mode 6 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 |
| Fault mode 7 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 18 |
| Fault mode 8 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 11 |
| Fault mode 9 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 7 |
| Fault mode 10 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 5 |
Table 2
| Fault performance 1 | Fault performance 2 | Fault performance 3 | Fault performance 4 | Fault performance 5 | Fault performance 6 | Fault performance 7 | Fault performance 8 | Fault performance 9 | Fault performance 10 | |
| Test cost | 16 | 14 | 8 | 4 | 9 | 11 | 2 | 8 | 13 | 10 |
Then, according to the probability of happening of each fault mode in the fault pattern base, selecting respectively with the entropy is what measure
With the GINI index be tolerance/
With with maximum error in classification (ID3) be tolerance/
Calculate corresponding quantity of information gain, promptly
P (a wherein
i) be fault mode a in the data pattern
iBe genuine probability, p (a
i) be fault mode a in the data pattern
iProbability for vacation; Then, the system fault diagnosis device is according to the test cost of each fault performance in the fault pattern base
Calculate the ratio of test cost and quantity of information gain, promptly
Described test cost is meant pecuniary consideration and/or time cost and other costs that performance is paid when testing to fault; At last, system fault diagnosis device basis
Generate respectively corresponding to being tolerance with the entropy, serving as tolerance and be three kinds of decision trees of tolerance with maximum error in classification with the GINI index.Described three kinds of decision trees are formed by test node and leaf node, and described test node shows corresponding to a certain specific fault, and described leaf node when test node that generates decision tree and leaf node, comprises step corresponding to a certain specific fault mode:
Steps A, system fault diagnosis device are judged the current order that whether exists
Fault performance, if having, then according to wherein making Δ I
AiMaximum fault performance generates the current test node of decision tree; Otherwise, carry out step B.
Step B, system fault diagnosis device judge that current whether the existence makes Δ I
Ai=0 fault performance is if having, then according to wherein order
Minimum fault performance generates the current test node of decision tree, otherwise, carry out step C.
Step C, system fault diagnosis device are according to current order
Minimum fault performance generates the current test node of decision tree.
Step D, system fault diagnosis device judge whether directly to infer corresponding fault mode according to described current test node, and after inferring corresponding fault mode, this fault mode are labeled as the leaf node of described test node; Then, the system fault diagnosis device further judges whether to exist next test node, and when having described next test node, returns steps A.
The system fault diagnosis device calculates it respectively at described three kinds of decision trees and on average needs test failure performance quantity Code after generating three kinds of decision trees
AvgWith average test cost Cost
AvgCalculate then
Wherein w be one for the constant between [0,1], with deciding test cost
To information gain Δ I
AiRelative importance, by manually preestablishing; At last, the system fault diagnosis device is selected to make in three kinds of decision trees
The decision tree of value minimum is the decision tree that is used for determining the localization of fault tree.
Table 3
In the present embodiment, the performance between three kinds of decision trees is more as shown in table 3; Obviously, the decision tree that localization of fault module 10 is selected wherein to generate based on entropy is the decision tree that is used for determining the localization of fault tree, and the structure of this decision tree as shown in Figure 2.
Decision tree is a kind of logical organization, in order to carry out localization of fault to system, the system fault diagnosis device should be converted to described decision tree corresponding localization of fault tree, it is each test node of formal description and each leaf node of using script that localization of fault is set, in the localization of fault tree, comprise corresponding testing scheme script in described each test node, comprise corresponding solution script in described each leaf node; Thereby the system fault diagnosis device is by localization of fault and the diagnostic operation of the described script file realization of operation to system.Consult shown in Figure 3, described localization of fault tree is Two Binomial Tree Model, each test node in the localization of fault tree all is the test action corresponding to a certain specific fault performance, this test action is corresponding to a script file, it is the testing scheme script, described testing scheme script comprises the method for testing to corresponding fault performance, this method of testing can be divided into automatically, and part (needs artificial some parameter of input) and artificial (need manually detect or manually move the program that some script can not call) automatically.Testing scheme script of the every operation of system fault diagnosis device needs all to judge whether corresponding fault performance takes place, and carries out subsequent treatment according to the result who returns.On the other hand, each leaf node in the localization of fault tree all is the processing action corresponding to a certain specific fault mode, this handles action corresponding to a script file, i.e. solution script, and described solution script comprises the disposal route to corresponding fault mode.
When the system fault diagnosis device carries out localization of fault to system, tree root from described localization of fault tree, through different test nodes, move corresponding testing scheme script, finally obtain corresponding leaf node, thereby obtain corresponding fault mode and corresponding solution script, and described fault mode is handled by moving described solution script.For example, as shown in Figure 3, when system broke down, the system fault diagnosis device was set according to localization of fault, checked at first whether fault performance 7 takes place, when failure symptom 7 does not take place, reexamine fault performance 4 and whether take place, when fault performance 4 takes place, continue to check whether fault performance 3 takes place, and when fault performance 3 takes place, determine that finally the failure cause of system is the fault mode 7.
Like this, just make the ratio minimum of test cost and the quantity of information gain of this localization of fault tree of the localization of fault tree of generation, thereby reaching overall equilbrium aspect the testing procedure of setting in the test cost that reduces the localization of fault tree and minimizing localization of fault several two.
Consult shown in Figure 4ly, in the embodiment of the invention, the system fault diagnosis device is as follows to the detailed process that system carries out localization of fault:
Step 400: analyze and to form corresponding failure-description thereby the system fault diagnosis device carries out FEMA to system, then information relevant in described failure-description and this system failure historical data base is combined, form corresponding fault pattern base.
Step 410: the system fault diagnosis device generates respectively based on entropy, based on the three kind decision trees of GINI exponential sum based on maximum error in classification according to described fault pattern base.
Step 420: the system fault diagnosis device calculates the average product that needs test failure performance quantity and average test cost of described three kinds of decision tree correspondences respectively.
Step 430: it is the decision tree that is used for determining the localization of fault tree that the system fault diagnosis device is selected the pairing decision tree of the minimum value in the described product.
Step 440: the system fault diagnosis device is converted to corresponding localization of fault tree with the decision tree of described selection.
Step 450: the system fault diagnosis device carries out fault analysis, location according to described localization of fault tree to system, determines final fault mode and this fault mode is handled accordingly.
In the foregoing description, the system fault diagnosis device is after generating the localization of fault tree, the result who shows generation to the user, the user can carry out corresponding modification to other data message in described localization of fault tree or the fault pattern base according to the needs of self, thereby further improves the accuracy of relevant information.
In addition, the system fault diagnosis device is after carrying out localization of fault and carrying out diagnostic operation to system, corresponding diagnostic result should be recorded in the fault pattern base, simultaneously this diagnostic result is handed down to tested object and shows that to the user described diagnostic result comprises fault performance, concrete processing procedure and the final fault mode of determining.
After system operation a period of time, the information of the fault mode that the system fault diagnosis device during this period of time obtains according to system is adjusted the probability of happening of corresponding fault mode, adjusts formula and is:
Wherein, p
NewBe the new probability of happening of fault mode, p
OldBe the original probability of happening of fault mode (if the fault mode that occurs the first time, then p
Old=0), n
cBe this fault mode system's operation during this period of time in the number of times that takes place, n be all fault mode system's operation during this period of time in the number of times of generation, m is an artificial designated parameter.
The system fault diagnosis device is behind the probability of happening of having adjusted fault mode, can regain according to the probability of happening of adjusted fault mode and be used for determining decision tree of localization of fault tree and corresponding localization of fault tree, thereby the system that makes corrects more original data estimation deviations automatically, makes the localization of fault tree that regenerates can satisfy the needs of actual conditions more.
Obviously, those skilled in the art can carry out various changes and modification to the present invention and not break away from the spirit and scope of the present invention.Like this, if of the present invention these are revised and modification belongs within the scope of claim of the present invention and equivalent technologies thereof, then the present invention also is intended to comprise these changes and modification interior.
Claims (13)
1, a kind of system fault locating method of test cost sensitivity is characterized in that, comprises step:
System is carried out Failure Mode Effective Analysis and forms corresponding fault pattern base, and this fault pattern base comprises the fault performance, may cause the fault mode of fault performance, the test cost of every kind of fault performance and the probability of happening of every kind of fault mode;
According to the probability of happening of every kind of fault mode, and at least two kinds of metric parameter setting, at least two kinds of quantity of information gains accordingly generated;
Test cost according to described at least two kinds of quantity of information gain and described every kind of fault performance, generate at least two kinds of corresponding decision trees respectively, and from described two kinds of decision trees, select the decision tree that is used for determining the localization of fault tree at least, this decision tree makes the test cost of localization of fault tree and the ratio minimum of the quantity of information gain that localization of fault is set;
Described selected decision tree is converted to corresponding localization of fault tree, and by this localization of fault tree analyzing and positioning system failure.
2, the method for claim 1, it is characterized in that, test cost according to described at least two kinds of quantity of information gain and described every kind of fault performance, after generating at least two kinds of corresponding decision trees respectively, from described at least two kinds of decision trees, select when being used for determining the decision tree of localization of fault tree, comprising:
Calculate the average product that needs test failure performance quantity and average test cost of described at least two kinds of decision tree correspondences respectively;
With the decision tree of minimum value correspondence in the described product as the decision tree of determining the localization of fault tree.
3, the method for claim 1 is characterized in that, at least two kinds of metric parameter of described setting comprise any two kinds or all in the maximum error in classification of entropy, GINI exponential sum.
4, method as claimed in claim 2 is characterized in that, described at least two kinds of decision trees are made up of test node and leaf node, and described test node shows corresponding to a certain specific fault, and described leaf node is corresponding to a certain specific fault mode.
5, method as claimed in claim 4 is characterized in that, the step that generates the test node of decision tree comprises:
If it is zero fault performance that current existence makes described test cost value, then generate the current test node of decision tree according to wherein making the maximum fault of described quantity of information gain show;
Described quantity of information gain value is zero fault performance if current existence makes, and then generates the current test node of decision tree according to the fault performance that wherein makes described test cost minimum;
Otherwise, make the fault performance of the ratio minimum of described test cost and the gain of described quantity of information generate the current test node of decision tree according to current.
6, method as claimed in claim 5 is characterized in that, the step that generates the leaf node of decision tree is:
Further judge whether directly to infer corresponding fault mode, and after inferring corresponding fault mode, this fault mode is labeled as the leaf node of described test node according to described current test node.
As each described method of claim 1-6, it is characterized in that 7, described localization of fault tree is described each test node and each leaf node with form of scripts; Comprise the testing scheme script in described each test node, comprise the solution script in described each leaf node.
8, method as claimed in claim 7 is characterized in that, also comprises the step according to the described localization of fault tree of user's modifying of order.
9, method as claimed in claim 8, it is characterized in that, also comprise step: after system being carried out fault locating analysis and solving corresponding fault mode, diagnostic result is stored in the fault pattern base, and described diagnostic result comprises fault performance, concrete processing procedure and the final fault mode of determining.
10, method as claimed in claim 8, it is characterized in that, also comprise step: after system being carried out fault locating analysis and handling corresponding fault mode, further according to the frequency of a certain fault mode in certain period and the original probability of happening of this fault mode, and the frequency of all fault modes in described certain period, obtain the up-to-date probability of happening of described a certain fault mode.
11, method as claimed in claim 10 is characterized in that, also comprises step: according to the up-to-date probability of happening of fault mode, regain the decision tree and corresponding localization of fault tree that are used for definite localization of fault tree.
12, a kind of system fault diagnosis device is characterized in that, comprising:
Storage unit is used for the storage failure library, and described fault pattern base comprises the fault performance, may cause the fault mode of fault performance, the test cost of every kind of fault performance and the probability of happening of every kind of fault mode;
Communication module is used to realize the information interaction between system failure locating device and the tested object;
Processing module, be used for system is carried out Failure Mode Effective Analysis, form corresponding fault pattern base, and generate according to the probability of happening of the test cost of each fault performance in the described fault pattern base and each fault mode and to be used for determining decision tree of localization of fault tree and corresponding localization of fault tree;
Parsing module is used for the method for testing script and the solution script of resolve fault locating tree;
The localization of fault module is used for system being carried out fault analysis and location, and the fault mode of orienting being handled according to setting method of testing script and the solution script that parses by described localization of fault.
13, device as claimed in claim 12 is characterized in that, described system fault diagnosis device also comprises:
Subscriber Interface Module SIM is used for showing diagnostic result to the user, or according to user's instruction the data in described localization of fault tree and the fault pattern base is carried out corresponding modification.
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| CN101715203B (en) * | 2009-11-30 | 2012-08-22 | 中国移动通信集团浙江有限公司 | Method and device for automatically positioning fault points |
| CN105338147B (en) * | 2014-06-30 | 2019-12-27 | 展讯通信（上海）有限公司 | Method and system for error tracking of mobile phone test site |
| CN106872812B (en) * | 2015-12-10 | 2020-10-27 | 中国船舶工业系统工程研究院 | Fault testing method based on binary tree |
| CN106611181A (en) * | 2016-05-30 | 2017-05-03 | 四川用联信息技术有限公司 | Method for constructing cost-sensitive two-dimensional decision tree |
| CN107608837A (en) * | 2017-09-21 | 2018-01-19 | 浪潮软件集团有限公司 | Method, device, readable medium and storage controller for positioning fault environment equipment |
| CN110188823A (en) * | 2019-05-30 | 2019-08-30 | 北京上格云技术有限公司 | A kind of Fault Tree Diagnosis Decision method and computer-readable medium |
| CN111913133A (en) * | 2020-06-30 | 2020-11-10 | 北京航天测控技术有限公司 | Distributed fault diagnosis and maintenance method, device, equipment and computer readable medium |
| CN114063588B (en) * | 2020-07-29 | 2023-10-31 | 中车株洲电力机车研究所有限公司 | Transmission control unit test speed selection method, device and equipment |
| CN112532315B (en) * | 2021-02-07 | 2021-04-30 | 湖北鑫英泰系统技术股份有限公司 | Optical cable fault positioning method and device based on distributed temperature measurement optical fiber |
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