CN106502238A - A kind of solid-liquid power aircraft fault diagnosis system - Google Patents
A kind of solid-liquid power aircraft fault diagnosis system Download PDFInfo
- Publication number
- CN106502238A CN106502238A CN201611079457.1A CN201611079457A CN106502238A CN 106502238 A CN106502238 A CN 106502238A CN 201611079457 A CN201611079457 A CN 201611079457A CN 106502238 A CN106502238 A CN 106502238A
- Authority
- CN
- China
- Prior art keywords
- failure
- phenomenon
- fault
- diagnosis
- tree
- 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.)
- Withdrawn
Links
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0208—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the configuration of the monitoring system
- G05B23/0213—Modular or universal configuration of the monitoring system, e.g. monitoring system having modules that may be combined to build monitoring program; monitoring system that can be applied to legacy systems; adaptable monitoring system; using different communication protocols
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/24—Pc safety
- G05B2219/24065—Real time diagnostics
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
- Test And Diagnosis Of Digital Computers (AREA)
- Testing And Monitoring For Control Systems (AREA)
Abstract
The invention discloses a kind of solid-liquid power aircraft fault diagnosis system, is mainly made up of user interface, solid-liquid power aircraft expert knowledge library and diagnostic reasoning module.User interface is substantially carried out man-machine interaction, realizes fault diagnosis, knowledge base maintenance, fault tree look facility；Expertise library storage fault experience knowledge, collects and arranges the failure cause and phenomenon of the failure occurred in experimentation；Diagnostic reasoning module infers failure happening part and reason according to aircraft phenomenon of the failure, and provides maintenance suggestion according to expert knowledge library.Solid-liquid power aircraft fault diagnosis system mainly realizes following functions.Subsystem is carried out fault diagnosis, be given maintenance advise and support result derive；Managerial expert's knowledge base, to data base in rule checked, added and deleted；Fault tree is checked, including the filiation between failure tree node, failure cause and maintenance suggestion.
Description
Technical field
The invention belongs to fault diagnosis field, and in particular to the fault diagnosis system under solid-liquid power aircraft expert knowledge library
System.
Background technology
The dynamical system of solid-liquid power aircraft uses solid-liquid power rocket engine, and solid-liquid rocket is same
When using solid and a kind of rocket engine of liquid propellant, typical solid-liquid rocket is using liquid oxidizer and solid
Fluid fuel, is mainly made up of liquid oxidizer feed system and engine main body system.Due to solid-liquid rocket itself
Architectural feature so as to the characteristics of with some from solid or different liquid-propellant rocket engine.Wherein major advantage includes：Safety
Good, can thrust adjust and repeatedly startup, many propellant (especially nontoxic propellant) species, low cost, powder column are stable
The good, temperature sensitivity of property is low.Therefore space industry is increasingly becoming, especially in sounding rocket, tactical missile and target, delivery fire
One important development direction in the fields such as arrow, sub- track manned spaceship, space propulsion.
But aerospace operations itself have high cost, high risk feature, sending out along with modern control theory again
Exhibition, aircraft scale and complexity expanding day, in the research and development of solid-liquid power aircraft, once break down, if not
Can be detected in time, exclude, then can extend the R＆D cycle, affect estimated progress, cause huge economic loss, or even jeopardize people
Body safety.Make full use of existing knowledge to carry out quick diagnosis to the failure occurred in development and process of the test effectively to carry
The efficiency of research and development of high solid-liquid power aircraft.Therefore, for the fault diagnosis of solid-liquid power aircraft, the collection of failure logging,
The maintenance of expert knowledge library, develops a kind of fault diagnosis system, improves the fault diagnosis efficiency of solid-liquid power aircraft, it appears pole
Which is important.Fault diagnosis system can solve the problem that and meet the demand of current solid-liquid power aircraft fault diagnosis, simultaneously for complete
The development of kind solid-liquid power aircraft and process of the test have very big help.Carry out solid-liquid power aircraft fault diagnosis research
Be beneficial to the development of such vehicle technology and the raising of reliability, be especially applicable to industry and business practice have important
Reference value.
Content of the invention
The purpose of the present invention is exactly a kind of solid-liquid power aircraft fault diagnosis system for designing in order to solve the above problems
System.Including human-computer interaction interface, failure expert knowledge library, diagnostic reasoning module and result output module.
A kind of solid-liquid power aircraft fault diagnosis system based on fault tree, including human-computer interaction interface, failure expert
Knowledge base, diagnostic reasoning machine module, result output module；
Human-computer interaction interface completes trouble location selection by user, then carries out phenomenon of the failure final election, enables fault message
The representation that internal identification is converted to by system；
Failure expert knowledge library is the set of the expert's domain knowledge of index, existing in order to inquire about and mate failure selected by user
The failure cause of elephant；
The phenomenon of the failure that diagnostic reasoning machine module is made to be selected according to user calculates failure cause and maintenance suggestion；
As a result output module is exported to the result of fault diagnosis, and saves as the file of " * .TXT ".
It is an advantage of the current invention that：
(1) fault diagnosis functions of the solid-liquid power aircraft that there are other fault diagnosis systems not have and expertise
Storehouse；
(2) there is complete fault diagnosis system, inference machine model to exist on backstage and run, user is in man-machine interaction
Interface can carry out all operations in authority；
(3) independent database memory expert knowledge, can change, add fault condition management therein failure therein
Rule；
(4) the inference machine model based on expert knowledge library, according to the selection of phenomenon of the failure, quickly generates failure cause and dimension
Build view, and the idagnostic logout file of " * .TXT ", more intuitive understanding diagnostic result can be derived；
(5) independent fault tree look facility, can be with all of fault tree child node in ergodic data storehouse, easily and intuitively
Check their phenomenon of the failure and maintenance suggestion.
Description of the drawings
Fig. 1：Solid-liquid power aircraft fault diagnosis system framework schematic diagram；
Fig. 2：Solid-liquid power aircraft failure cause table；
Fig. 3：Solid-liquid power aircraft phenomenon of the failure table；
Fig. 4：Solid-liquid power aircraft diagnosis rule table；
Fig. 5：Solid-liquid power aircraft fault diagnosis system human-computer interaction interface；
Fig. 6：Fault diagnosis tree query working interface；
Fig. 7：Fault diagnosis tree query point event section is particularly shown interface；
Fig. 8：Fault knowledge database management module interface
Fig. 9：Failure conclusion preliminary forecasting interface
In figure
1- human-computer interaction interface 2- solid-liquid power aircraft failure expert knowledge libraries
3- solid-liquid power aircraft failure diagnosis reasoning machine 4- result output modules
101- solid-liquid power aircraft failure tree query layers
102- solid-liquid power aircraft KBM layers
103- solid-liquid power aircraft subsystem fault inquiry layers
201- diagnoses object 202- failure cause tables
203- phenomenon of the failure table 204- diagnosis rule tables
301- database access module 302- fault diagnosis functions
Specific embodiment
The invention will be further described below in conjunction with the accompanying drawings.
The present invention is a kind of fault diagnosis system of solid-liquid power aircraft based on fault tree, as shown in figure 1, including man-machine
Interactive interface 1, failure expert knowledge library 2, diagnostic reasoning machine module 3, result output module 4.
Human-computer interaction interface 1 completes trouble location selection by user, then carries out phenomenon of the failure final election, enables fault message
The representation that internal identification is converted to by system；
Set of the failure expert knowledge library 2 as the expert's domain knowledge of index is showed then in order to inquire about and mate user
Fault condition；Program of the diagnostic reasoning module 3 as diagnostic analysiss, resolves the original that is out of order according to the phenomenon of the failure that user selects
Cause and maintenance suggestion；As a result output module 4 is exported to the result of fault diagnosis, and can save as the text of " * .TXT "
Part, so that user checks and uses.
Solid-liquid power aircraft failure expert knowledge library 2 is the data base based on ACCESS2003, and it is to adopt fault tree
With manually achievement method migration into failure cause table 202, phenomenon of the failure table 203, diagnosis rule table 204 constitute.Failure cause
Table 202, phenomenon of the failure table 203, diagnosis rule table 204 are called and changed by diagnostic systems as the basis of fault diagnosis.
Diagnosis object 201 is seven general big subsystems of solid-liquid power aircraft, and they are ground test emission control systems
System, aircraft flight control computer, rudder system, solid-liquid rocket, sequential control system, remote measurement/remote control systems and
Integrated navigation system.Each system establishes failure cause table, phenomenon of the failure table, diagnosis rule table.Selection to fault object
It is exactly which group tables of data Selection and call travels through.
Solid-liquid power aircraft failure cause table 202 mostly in reference to fault diagnosis tree, from the beginning of the superiors' event, successively
Traversal represents each point of event failure downwards.Wherein by failure label, failure cause, diagnosis rule, fault recognition, maintenance suggestion
And failure level composition.The N+ numeral combinations of failure label, for carrying out again after contrasting failure insertion, deletion or modification
Sequence；Failure cause represents the reason for each layer failure occurs, and is the coupling character foundation of reasoning and judging；Diagnosis rule R+ numerals
Combination, rule number, as contact diagnosis rule table and the bridge of phenomenon of the failure table, as the major key in the data base table；
Fault recognition represents that with numeral its value is only 0 or 1, represents that failure occurs；Maintenance suggestion for be close to bottom failure or
In the middle of person, a point event failure gives necessary suggestion, also serves as judged result use；It is located in failure layering fault diagnosis tree
The expression of different levels, from top to bottom, increases numeral with level and is gradually incremented by.
Solid-liquid power aircraft phenomenon of the failure table 203 lists phenomenon that is most of may occurring or having occurred and makees
Be foundation, set up with failure cause table and diagnosis rule table by diagnosis rule and contacted, so as to correlation be found according to phenomenon of the failure
Failure cause.The table is confirmed to constitute by phenomenon label, phenomenon of the failure, diagnosis rule and phenomenon.Phenomenon label P+ numerals
Combination, for being resequenced after contrast phenomenon's insertion, deletion or modification；Phenomenon of the failure express possibility appearance various therefore
Barrier row, wherein possible identical phenomenon of the failure correspond to multiple diagnosis rules, embody implicated relationship；Diagnosis rule R+ blockettes
Close, rule number, as contact diagnosis rule table and the bridge of failure cause table；Phenomenon confirms：Represented with numeral, its value is only
0 or 1,1 represents that the phenomenon occurs.The corresponding multiple diagnosis rules number of same phenomenon of the failure, many reasons that express possibility can be led
The generation of the phenomenon of the failure is caused, while also reflecting the complexity of diagnosis.
Solid-liquid power aircraft diagnosis rule table 204 is the tie of connecting fault reason table and phenomenon of the failure table, the table energy
The complexity of the depth and diagnosis scale of fault diagnosis tree hierachy is enough reflected, mainly by diagnosis rule, phenomenon of the failure number, choosing
Middle phenomenon number and matching probability composition.Phenomenon rule：With R+ numeral combinations, rule number, as contact phenomenon of the failure table and
The bridge of failure cause table；Phenomenon of the failure number：Represented with numeral, the phenomenon of the failure of the corresponding diagnosis rule of the appearance that expresses possibility
Number, the numerical value show that greatly same failure cause can cause multiple phenomenons, and basic value is 1；Choose phenomenon number：Use digital table
Show, represent the number of selected phenomenon of the failure, while also reflecting the actual phenomenon of the failure number for producing of corresponding failure meeting, basic value
For 0, represent that not faulty phenomenon shows；Matching probability：Represented with numeral, its value is only 0～1, represent that the failure cause goes out
Existing probit.
Human-computer interaction interface 1 is designed based on VC++6.0MFC, and using functional stratification method for designing, human-computer interaction interface is as schemed
Shown in 5, layer 103 is inquired about including failure tree query layer 101, KBM layer 102, subsystem.
Solid-liquid power aircraft fault diagnosis system failure tree query layer 101 is by the failure tree query button shown in Fig. 5
Can enter, be illustrated in figure 6 failure tree query working interface, left-half is each subsystem according to from top to bottom in figure
The failure cause tree structure that order is set up successively, similar to the set of all fault diagnosis trees；Top is dividing for currently selecting
System or intermediate event, right half part represent that for the figure of fault diagnosis tree the understanding being only to provide on general sense organ has
Body also needs to check left side tree diagram.When left side have selected part subsystem, right side can show fault diagnosis tree, when concrete choosing
Intermediate layer event is selected, left side can according to circumstances be listed phenomenon of the failure and be corresponded to therewith, so also can be with the phenomenon of the failure storehouse of system
There is a understanding.Fig. 7 is shown when specifically chosen intermediate layer subsystem, and right side corresponding internal circuit diagram occurs and carries
Show, point out the components and parts for being generally easier the position of error or needing to carry out strict supervision.It is mainly by the entrance
User or operator's foundation can be given the substantially understanding to solid-liquid power aircraft failure, be familiar with what each subsystem was likely to occur
Or the failure that occurred or mistake, improve stock of knowledge and operating experience.
102 interface such as Fig. 8 of solid-liquid power aircraft fault diagnosis system KBM layer, shows row before top in figure
Go out total failure cause number, behind be shown that the line number currently chosen, the figure is by taking solid-liquid rocket failure as an example.Should
Module allows user that failure cause table is added, is changed, deletion action.
Solid-liquid power aircraft fault diagnosis system subsystem inquires about layer 103 firstly the need of carrying out subsystem choosing as needed
Select, by taking integrated navigation system as an example, choose to radio button integrated navigation system, phenomenon of the failure to select gps systems intermittence work
Make.Then into the failure conclusion preliminary forecasting interface shown in Fig. 9, according to the phenomenon of the failure of coupling, be diagnosed to be fail result,
Failure cause and part maintenance suggestion.Fault inquiry is made similar to Setup Wizard pattern, user can be guided to be operated,
Inquiry can also be returned simultaneously in time, convenient and swift.
Solid-liquid power aircraft fault diagnosis reasoning module 3 writes fault diagnosis function 302 by the function that C++ is provided, by
The phenomenon of the failure of final election infers failure cause.Inference machine is the operation to ACCESS expert knowledge libraries access modules 301, calls
Phenomenon of the failure table, produces the phenomenon final election mark of coupling.Return again to diagnosis rule meter and calculate final election probability (i.e. matching probability),
Assume that the final election probability that all phenomenons are obtained in the case of being worth equalization represents matching degree.Failure conclusion table is then passed to, with
Mate as breakdown judge foundation completely, produce the failure cause and maintenance suggestion that can be called.Carry out in all match reasonings
After completing, inference machine by the data full recovery zero setting that is changed in bug list, not affect follow-up diagnosis.Inference machine is saved
The complexity traveled through on fault tree, takes and for tree to be converted into table, and direct traversal list also seems while improve arithmetic speed
More intuitively call.
Solid-liquid power aircraft fault diagnosis system result output module 4 is to write function performance general using the file of C++
The result of fault diagnosis is preserved in the form of " * .TXT " document, is checked with being supplied to related personnel, is remembered simultaneously as failure
A kind of record form of record, conveniently calls and checks.
Concrete operations flow process is as follows：
First database file is copied under program directory, there is provided the data base that can connect.
Next to that opening fault diagnosis configuration processor, system prompt connects data base's success, then fault diagnosis system can be with
Normal use.
Main menu is entered, fault diagnosis functions are selected, arbitrary subsystem is selected, in the phenomenon of the failure for selecting to occur, is clicked on
Determine, then produce diagnostic result analysis.This interface can be derived with selection result, eject storing path dialog box, select path, be
System automatically generate file entitled ' the result _ moon _ -when h point m second s.txt'.If fault diagnosis does not go out reason, it is
Because the phenomenon for selecting does not have being mated in expert knowledge library, its rule can be added to specially by KBM
In family's knowledge base, the abundant degree of the precision and knowledge base of follow-up diagnosis is improved.
Main menu is then back to, KBM option is clicked on, management menu is entered.The failure bar of subsystem can be checked
Part, at the same knowledge base can be added, be changed, deletion action.
Main menu is then back to, fault tree query option is clicked on, menu is entered, is checked the fault tree of each subsystem.
Described expert knowledge library is to be recorded based on expertise knowledge and fault diagnosis for a long time, occurrence condition etc.
The priori of summary and induction, is the knowledge base with typical representative.The present invention is by some solid-liquid power aircraft
The expertise for obtaining part of representative summarized by books and document, while to actual in solid-liquid power aircraft R＆D process
The failure that encounters is arranged, and collectively forms expert knowledge library.Knowledge base can deeply being enriched with research and development test, diagnosis
Ability and diagnostic accuracy also can be improved therewith.
The present invention can send out the backdoor programs of control software as solid-liquid power Aerospace vehicle test, run into event in research and development test
Carry out accident analysis after barrier immediately, occurred in promptly can solve to cross by priori summary and induction and research and development
Failure, improve research and development test efficiency.
Described fault tree is a kind of membership relation, and from failure top event to bottom event a transient process, by layer
Secondary come the reason for dissecting causing trouble and occur.Tree is that one kind intuitively checks mechanism, and a kind of primitive form of data structure,
Its foundation can be set up with used area of computer aided, it is also possible to artificial foundation.
A series of judgement of the reason for described fault diagnosis is abnormalities and exception that aircraft is occurred.Logical
Cross phenomenon of the failure contact knowledge base and membership relation is found so as to find the hardware reason of causing trouble, so as to propose maintenance suggestion.
What whole diagnosis process was adopted is all the Matching Model of probability of malfunction angle, mainly relies on the access of knowledge base,
Function is realized by the ACCESS data bases of ADO interface accessings.Redirecting by the page, Transfer Parameters are for calling.
The fault diagnosis system of the present invention based on diagnostic reasoning machine, as the backstage kernel program of the system, in conjunction with
Human-computer interaction interface, the position for carrying out failure select to extract with the phenomenon of failure, by ADO interface access data library files, transport
Row diagnostic reasoning machine, is diagnosed to be failure cause, while the human-computer interaction interface for providing breakdown maintenance suggestion shows.And knot is provided
The a complete set of information of idagnostic logout can be preserved in the form of " * .TXT " by phenolphthalein outgoing interface, conveniently read and analyze.
The present invention is the solid-liquid power aircraft failure based on VC++6.0MFC and ACCESS2003 data base management systems
Diagnostic system, based on expert knowledge library 2, develops corresponding human-computer interaction interface 1 and diagnostic reasoning machine 3 and result is defeated
Go out module 4, four constitute complete integrated system, realize completely fault diagnosis and management.
The present invention proposes a kind of solid-liquid power aircraft fault diagnosis system based on expert knowledge library, by summarizing priori
Knowledge sets up fault tree, while fault tree is converted to expertise data base, there is provided a good queried access environment.Tree
Ergodic process simple and clear, can accurately diagnose and reduce amount of calculation.And be converted into data base and be then more conducive to C++
The access of platform, the feasibility of the software of raising.
The present invention proposes a kind of solid-liquid power aircraft fault diagnosis system based on expert knowledge library, and which has dynamic
The ability of managerial expert's knowledge base, improves and adjusts precision and the trouble diagnosibility of diagnostic system at any time.Also provide one
Good database management platform.
Claims (5)
1. a kind of solid-liquid power aircraft fault diagnosis system based on fault tree, knows including human-computer interaction interface, failure expert
Know storehouse, diagnostic reasoning machine module, result output module；
Human-computer interaction interface completes trouble location selection by user, then carries out phenomenon of the failure final election, enables the fault message be
System is converted to the representation of internal identification；
Failure expert knowledge library is the set of the expert's domain knowledge of index, in order to inquire about and mate phenomenon of the failure selected by user
Failure cause；
The phenomenon of the failure that diagnostic reasoning machine module is made to be selected according to user calculates failure cause and maintenance suggestion；
As a result output module is exported to the result of fault diagnosis, and saves as the file of " * .TXT ".
2. a kind of solid-liquid power aircraft fault diagnosis system based on fault tree according to claim 1, described people
Machine interactive interface is designed using functional stratification, including failure tree query layer, KBM layer, subsystem inquiry layer；
Failure tree query layer is entered by the failure tree query button of human-computer interaction interface, left-half be each subsystem according to
The failure cause tree structure that order from top to bottom is set up successively；Top is the subsystem or intermediate event for currently selecting,
Right half part is represented for the figure of fault diagnosis tree；When left side have selected part subsystem, right side can show fault diagnosis tree,
When specifically chosen intermediate layer event, it is corresponding therewith that phenomenon of the failure can be according to circumstances listed in left side；When specifically chosen intermediate layer
During subsystem, there is corresponding internal circuit diagram and prompting in right side, points out the easily position of error or needs strictly to be supervised
The components and parts of pipe；
Above show at the top of KBM bed boundary and list total failure cause number, behind be shown that the row currently chosen
Number, the module allows user be added knowledge base, change, deletion action；
Subsystem inquires about layer firstly the need of subsystem selection is carried out as needed, after the completion of subsystem is selected, carries out phenomenon of the failure
Final election, the selection of failure is carried out according to the phenomenon of the failure for occurring；Then into failure conclusion preliminary forecasting interface, according to
The phenomenon of the failure that matches somebody with somebody, is diagnosed to be fail result, failure cause and part maintenance suggestion.
3. a kind of solid-liquid power aircraft fault diagnosis system based on fault tree according to claim 1, described event
The diagnosis object of barrier diagnostic system is seven general big subsystems of solid-liquid power aircraft, including ground test emission control system
System, aircraft flight control computer, rudder system, solid-liquid rocket, sequential control system, remote measurement/remote control systems and
Integrated navigation system.
4. a kind of solid-liquid power aircraft fault diagnosis system based on fault tree according to claim 1, described event
Barrier expert knowledge library is data base based on ACCESS2003, by fault tree using manually achievement method migration into phenomenon of the failure
Table, diagnosis rule table, failure cause table composition, each subsystem are respectively provided with a form, and data form constitutes expert and knows
Know library database file, as the basis of fault diagnosis, called and changed by diagnostic system；
Failure cause table is to refer to fault diagnosis tree, and from the beginning of the superiors' event, traversal represents each point of event event downwards successively
Barrier；Wherein it is made up of failure label, failure cause, diagnosis rule, fault recognition, maintenance suggestion and failure level；Failure mark
Number with N+ numeral combination, for contrast failure insertion, delete or modification after resequenced；Failure cause represents each layer event
The reason for barrier occurs, is the coupling character foundation of reasoning and judging；Diagnosis rule R+ numeral combinations, rule number, used as contact event
Barrier rule list and the bridge of phenomenon of the failure table, used as the major key in the data base table；Fault recognition represented with numeral, its value
0 or 1 is only, represents that failure occurs；Maintenance suggestion is for being close to bottom failure or middle point event failure gives
Suggestion, also serves as judged result use；The expression of different levels is located in failure layering fault diagnosis tree, from top to bottom, with
Level increases numeral and is gradually incremented by；
Phenomenon of the failure table lists phenomenon that is may occurring or having occurred as foundation, former with failure by diagnosis rule
Because contact set up by table and diagnosis rule table, make the failure cause that correlation is found according to phenomenon of the failure, the table is by phenomenon label, failure
Phenomenon, diagnosis rule and phenomenon confirm composition, the P+ numeral combinations of phenomenon label, for contrast phenomenon's insertion, delete or
Resequenced after modification；Phenomenon of the failure expresses possibility the various failures row of appearance, wherein may identical phenomenon of the failure pair
Multiple diagnosis rules, diagnosis rule are answered to be combined with R+ numerals, rule number, used as contact diagnosis rule table and the bridge of failure cause table
Beam；Phenomenon confirms：Represented with numeral, its value is only 0 or 1,1 and represents that the phenomenon occurs, 0 represents that the phenomenon does not occur,
The corresponding multiple diagnosis rules number of same phenomenon of the failure, many reasons that express possibility can cause the generation of the phenomenon of the failure；
Diagnosis rule table by diagnosis rule, phenomenon of the failure number, choose phenomenon number and matching probability to constitute, phenomenon rule：
With R+ numeral combinations, rule number, used as contact phenomenon of the failure table and the bridge of failure cause table；Phenomenon of the failure number：With numeral
Represent, the number of the phenomenon of the failure for corresponding diagnosis rule occur that expresses possibility；Choose phenomenon number：Represented with numeral, represent quilt
Choose the number of phenomenon of the failure；Matching probability：Represented with numeral, its value is 0～1, represent the probit that the failure cause occurs.
5. a kind of solid-liquid power aircraft fault diagnosis system based on fault tree according to claim 1, described examines
Disconnected inference engine module writes fault diagnosis function by the function that C++ is provided, and infers failure cause by the phenomenon of the failure of final election, pushes away
Reason machine is the operation to ACCESS expert knowledge library access modules, calls phenomenon of the failure table, produces the phenomenon final election mark of coupling,
Return again to diagnosis rule meter and calculate final election probability i.e. matching probability, obtained in the case where all phenomenons value equalizations are assumed answers
Select probability to represent matching degree, be then passed to failure conclusion table, to mate as breakdown judge foundation completely, generation can be called
Failure cause and maintenance suggestion, after all match reasonings are completed, the data will changed in bug list by inference machine
Full recovery zero setting, diagnostic reasoning machine are taken and for tree to be converted into table, and direct traversal list also seems while improve arithmetic speed
More intuitively call.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611079457.1A CN106502238A (en) | 2016-11-30 | 2016-11-30 | A kind of solid-liquid power aircraft fault diagnosis system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611079457.1A CN106502238A (en) | 2016-11-30 | 2016-11-30 | A kind of solid-liquid power aircraft fault diagnosis system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106502238A true CN106502238A (en) | 2017-03-15 |
Family
ID=58327977
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201611079457.1A Withdrawn CN106502238A (en) | 2016-11-30 | 2016-11-30 | A kind of solid-liquid power aircraft fault diagnosis system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106502238A (en) |
Cited By (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106951656A (en) * | 2017-03-31 | 2017-07-14 | 广州电力机车有限公司 | A kind of mine vehicle fault handling method based on MATLAB softwares |
| CN107703912A (en) * | 2017-09-13 | 2018-02-16 | 陕西千山航空电子有限责任公司 | A kind of method for diagnosing faults based on Aerial Electronic Equipment |
| CN107891994A (en) * | 2017-11-09 | 2018-04-10 | 北京九天翱翔科技有限公司 | A kind of full Intelligent flight device flight test error analytical system |
| CN108153618A (en) * | 2017-12-22 | 2018-06-12 | 国网浙江杭州市萧山区供电有限公司 | Hard disk data recovery, device and hard disc data restorer |
| CN108536047A (en) * | 2017-12-14 | 2018-09-14 | 浙江耀达智能科技股份有限公司 | A kind of network-type pressure control frequency convertor system |
| CN108757224A (en) * | 2018-05-16 | 2018-11-06 | 内蒙航天动力机械测试所 | A kind of method for diagnosing faults of solid propellant rocket impact test |
| CN109165124A (en) * | 2018-08-07 | 2019-01-08 | 南京翼辉信息技术有限公司 | A kind of embedded system hardware fault detection and processing method based on fault tree |
| CN109270851A (en) * | 2018-08-17 | 2019-01-25 | 北京航空航天大学 | The design method of human-computer interaction Dynamic fault tree cognition overload fault logic gate |
| CN109543858A (en) * | 2018-11-30 | 2019-03-29 | 青海电研科技有限责任公司 | A kind of Hydropower Unit online monitoring data analyzing evaluation method |
| CN109743255A (en) * | 2018-11-16 | 2019-05-10 | 中国西安卫星测控中心 | The design method of the space tracking telemetry and control center route system in knowledge based library |
| CN110135598A (en) * | 2019-05-16 | 2019-08-16 | 兰州交通大学 | A kind of high-speed railway electricity business maintenance auxiliary system of knowledge based service |
| CN110360024A (en) * | 2019-07-29 | 2019-10-22 | 西北工业大学 | A kind of airborne trouble-shooter of rocket engine based on FPGA+DSP |
| CN111045411A (en) * | 2018-10-11 | 2020-04-21 | 现代自动车株式会社 | Fault diagnosis method for powertrain assembly |
| CN111896826A (en) * | 2020-07-30 | 2020-11-06 | 中国电子科技集团公司第五十四研究所 | Fault diagnosis method for continuous and stable operation time-frequency reference equipment |
| CN113485305A (en) * | 2021-07-28 | 2021-10-08 | 成都飞机工业（集团）有限责任公司 | Aircraft outwork fault diagnosis system and method |
| CN114115192A (en) * | 2021-11-23 | 2022-03-01 | 中国航空工业集团公司洛阳电光设备研究所 | Base level intelligent guarantee auxiliary system for airborne equipment |
| CN116071040A (en) * | 2022-12-27 | 2023-05-05 | 昆岳互联环境技术(江苏)有限公司 | Method for managing equipment faults and equipment maintenance |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH0242535A (en) * | 1988-08-03 | 1990-02-13 | Hitachi Ltd | Method and device for formation of knowledge base and trouble diagnostic method using the knowledge base |
| JP2007025981A (en) * | 2005-07-14 | 2007-02-01 | Okayama Univ | Fault diagnosis apparatus, program, and recording medium |
| CN102146845A (en) * | 2011-01-28 | 2011-08-10 | 中国人民解放军海军工程大学 | Method for patterning Petri network and application of method for patterning Petri network to diagnosis of fault of marine gas turbine |
| CN104376033A (en) * | 2014-08-01 | 2015-02-25 | 中国人民解放军装甲兵工程学院 | Fault diagnosis method based on fault tree and database technology |
| CN105004526A (en) * | 2015-07-08 | 2015-10-28 | 中国民用航空飞行学院 | Fault detection system based on engine storage parameters |
| CN105302112A (en) * | 2015-10-23 | 2016-02-03 | 中国电子科技集团公司第十研究所 | Intelligent fault diagnosis system for ICNI system |
-
2016
- 2016-11-30 CN CN201611079457.1A patent/CN106502238A/en not_active Withdrawn
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH0242535A (en) * | 1988-08-03 | 1990-02-13 | Hitachi Ltd | Method and device for formation of knowledge base and trouble diagnostic method using the knowledge base |
| JP2007025981A (en) * | 2005-07-14 | 2007-02-01 | Okayama Univ | Fault diagnosis apparatus, program, and recording medium |
| CN102146845A (en) * | 2011-01-28 | 2011-08-10 | 中国人民解放军海军工程大学 | Method for patterning Petri network and application of method for patterning Petri network to diagnosis of fault of marine gas turbine |
| CN104376033A (en) * | 2014-08-01 | 2015-02-25 | 中国人民解放军装甲兵工程学院 | Fault diagnosis method based on fault tree and database technology |
| CN105004526A (en) * | 2015-07-08 | 2015-10-28 | 中国民用航空飞行学院 | Fault detection system based on engine storage parameters |
| CN105302112A (en) * | 2015-10-23 | 2016-02-03 | 中国电子科技集团公司第十研究所 | Intelligent fault diagnosis system for ICNI system |
Non-Patent Citations (1)
| Title |
|---|
| 李小川: "固液动力飞行器故障诊断系统研究", 《道客巴巴》 * |
Cited By (19)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106951656A (en) * | 2017-03-31 | 2017-07-14 | 广州电力机车有限公司 | A kind of mine vehicle fault handling method based on MATLAB softwares |
| CN107703912A (en) * | 2017-09-13 | 2018-02-16 | 陕西千山航空电子有限责任公司 | A kind of method for diagnosing faults based on Aerial Electronic Equipment |
| CN107891994A (en) * | 2017-11-09 | 2018-04-10 | 北京九天翱翔科技有限公司 | A kind of full Intelligent flight device flight test error analytical system |
| CN108536047A (en) * | 2017-12-14 | 2018-09-14 | 浙江耀达智能科技股份有限公司 | A kind of network-type pressure control frequency convertor system |
| CN108153618A (en) * | 2017-12-22 | 2018-06-12 | 国网浙江杭州市萧山区供电有限公司 | Hard disk data recovery, device and hard disc data restorer |
| CN108153618B (en) * | 2017-12-22 | 2021-12-03 | 国网浙江杭州市萧山区供电有限公司 | Hard disk data recovery method and device and hard disk data recovery equipment |
| CN108757224A (en) * | 2018-05-16 | 2018-11-06 | 内蒙航天动力机械测试所 | A kind of method for diagnosing faults of solid propellant rocket impact test |
| CN108757224B (en) * | 2018-05-16 | 2021-07-20 | 内蒙航天动力机械测试所 | Fault diagnosis method for impact test of solid rocket engine |
| CN109165124A (en) * | 2018-08-07 | 2019-01-08 | 南京翼辉信息技术有限公司 | A kind of embedded system hardware fault detection and processing method based on fault tree |
| CN109270851A (en) * | 2018-08-17 | 2019-01-25 | 北京航空航天大学 | The design method of human-computer interaction Dynamic fault tree cognition overload fault logic gate |
| CN111045411A (en) * | 2018-10-11 | 2020-04-21 | 现代自动车株式会社 | Fault diagnosis method for powertrain assembly |
| CN109743255A (en) * | 2018-11-16 | 2019-05-10 | 中国西安卫星测控中心 | The design method of the space tracking telemetry and control center route system in knowledge based library |
| CN109543858A (en) * | 2018-11-30 | 2019-03-29 | 青海电研科技有限责任公司 | A kind of Hydropower Unit online monitoring data analyzing evaluation method |
| CN110135598A (en) * | 2019-05-16 | 2019-08-16 | 兰州交通大学 | A kind of high-speed railway electricity business maintenance auxiliary system of knowledge based service |
| CN110360024A (en) * | 2019-07-29 | 2019-10-22 | 西北工业大学 | A kind of airborne trouble-shooter of rocket engine based on FPGA+DSP |
| CN111896826A (en) * | 2020-07-30 | 2020-11-06 | 中国电子科技集团公司第五十四研究所 | Fault diagnosis method for continuous and stable operation time-frequency reference equipment |
| CN113485305A (en) * | 2021-07-28 | 2021-10-08 | 成都飞机工业（集团）有限责任公司 | Aircraft outwork fault diagnosis system and method |
| CN114115192A (en) * | 2021-11-23 | 2022-03-01 | 中国航空工业集团公司洛阳电光设备研究所 | Base level intelligent guarantee auxiliary system for airborne equipment |
| CN116071040A (en) * | 2022-12-27 | 2023-05-05 | 昆岳互联环境技术(江苏)有限公司 | Method for managing equipment faults and equipment maintenance |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106502238A (en) | A kind of solid-liquid power aircraft fault diagnosis system | |
| US10996665B2 (en) | Determining maintenance for a machine | |
| CN105302112A (en) | Intelligent fault diagnosis system for ICNI system | |
| CN106250631B (en) | Fault diagnosis method based on fault-test correlation matrix | |
| CN108319673B (en) | Fault tree construction method based on relational database | |
| CN106528407A (en) | Embedded software security automation verification system and verification method thereof | |
| CN105004526A (en) | Fault detection system based on engine storage parameters | |
| CN103617117B (en) | A kind of based on aviation embedded software test knowledge base system | |
| CN105045583A (en) | Visualized process based IETM (Interactive Electronic Technical Manual) fault class data module creation apparatus and creation method therefor | |
| CN115860259A (en) | Fault processing method and device and computer readable storage medium | |
| CN110543489B (en) | Solid rocket engine reliability data analysis mining and application software tool | |
| CN117892811A (en) | Knowledge graph construction system for intelligent design of typical structural member | |
| Chi et al. | Sensor placement for fault isolability using low complexity dynamic programming | |
| Carlisle | Probabilistic risk assessment in nuclear reactors: engineering success, public relations failure | |
| CN207182072U (en) | A kind of Novel numerical control machine turret fault diagnosis system based on ARM embedded systems | |
| CN102164089A (en) | Routing-based IETM (Interactive Electronic Technical Manual) fault diagnosis recording and playback device and method | |
| Meng et al. | Method for Constructing Fault Knowledge Graph for PHM of Aircraft Power System | |
| KR101864982B1 (en) | Apparatus and method for constructing common database for distribution management system and microgrid energy management system | |
| Yang et al. | An expert system reasoning machine based on the combination of fault tree and generalized regression neural network | |
| Butler et al. | The Fault Tree Compiler (FTC): Program and Mathematics | |
| CN111611684B (en) | Method, system, device and storage medium for generating interference zone logic block | |
| JPS6320529A (en) | Knowledge acquiring system | |
| Wang et al. | Research on fault diagnosis system based on aeroengine knowledge base | |
| Wang et al. | Research on cloud platform architecture of flight big data | |
| Guo et al. | Design of fault diagnosis expert system for civil aircraft based on FTA-BDD analysis |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WW01 | Invention patent application withdrawn after publication | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20170315 |