CN104503442A - Fault diagnosis training method for ordnance equipment - Google Patents

Fault diagnosis training method for ordnance equipment Download PDF

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Publication number
CN104503442A
CN104503442A CN201410818865.9A CN201410818865A CN104503442A CN 104503442 A CN104503442 A CN 104503442A CN 201410818865 A CN201410818865 A CN 201410818865A CN 104503442 A CN104503442 A CN 104503442A
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training
information
fault diagnosis
fault
equipment
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CN201410818865.9A
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CN104503442B (en
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李星新
郝建平
李浩智
叶飞
赵吉昌
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中国人民解放军军械工程学院
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    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00Testing or monitoring of control systems or parts thereof
    • G05B23/02Electric testing or monitoring

Abstract

The invention discloses a fault diagnosis training method for ordnance equipment, and relates to the technical field of a process control system. The fault diagnosis training method comprises the following steps of (1) establishing a virtual maintenance training model machine; (2) setting fault diagnosis training processes of the virtual maintenance training model machine; (3) packaging the fault diagnosis training processes according to a subject system; (4) issuing packaged fault diagnosis training processes; (5) carrying out fault diagnosis training through a virtual maintenance training environment. According to the fault diagnosis training method disclosed by the invention, the problem that the training effect and the training quality during fault diagnosis training of the ordnance equipment are low can be solved, the difficult problem facing current fault diagnosis can be overcome, the training effect and the training quality are increased, the training cost is reduced, the training safety is ensured, and the defect of a current maintenance training means is relived.

Description

Armament equipment fault diagnosis training method

Technical field

The present invention relates to program control system technical field, particularly relate to a kind of armament equipment fault diagnosis training method.

Background technology

Armament equipment fault diagnosis refers to reason or character that to find out under certain working environment and cause certain functional disturbance of armament equipment, judges the position that deterioration state occurs or parts.In armament equipment maintenance process, fault diagnosis is a very important ring, is the prerequisite that completed smoothly of equipment repahs and important guarantee, is directly connected to the trend of subsequent repair work.Detect not well, accurately and fault diagnosis, subsequent repair work will be shot at random.Therefore, fault diagnosis training is carried out to maintenance related personnel particularly important.

At present, the training of armament equipment fault diagnosis faces following four difficult points: one is that equipment configuration is complicated, with high content of technology, expensive, cannot ensure quantity and the number of times of training use equipment.Two is when carrying out failture evacuation training, can not arrange fault arbitrarily, cause the kind of the phenomenon of the failure presented to have existing, trainee is trained limited, comprehensively can not launch troubleshooting training to all kinds of fault.Three is in failture evacuation training, and after fault is set up, the malfunction that equipment panel presents is obvious not, and make trainee be difficult to looking up the fault phenomenon, causing trouble examining training cannot proceed.Four is that a certain phenomenon of the failure may be caused by the failure cause of variety classes and varying number, and trainee, when carrying out failture evacuation, is difficult to a certain phenomenon of the failure determination failure cause, which increases the difficulty of training.

Summary of the invention

Technical matters to be solved by this invention is to provide a kind of ordnance fault diagnosis training method, the method can solve armament equipment fault diagnosis training in training effect and training quality problem, overcome current failure and diagnose the difficult problem faced, in order to improve training effect and quality, reduction training cost, Support Training safety, alleviate the deficiency of existing maintenance training means.

For solving the problems of the technologies described above, the technical solution used in the present invention is: a kind of armament equipment fault diagnosis training method, is characterized in that comprising the following steps:

(1) Virtual Maintenance Training model machine is set up;

(2) the fault diagnosis training flow process of Virtual Maintenance Training model machine is set;

(3) popular tourism encapsulation is pressed to fault diagnosis training flow process;

(4) packaged fault diagnosis training flow process is issued;

(5) fault diagnosis training is carried out by Virtual Maintenance Training environment.

Further technical scheme is: set up Virtual Maintenance Training model machine and comprise the following steps:

(1) collection of multiple armament equipment failure message and typing;

(2) three-dimensional armament equipment model machine artificial intelligence design;

(3) Virtual Maintenance Training model machine is built.

Further technical scheme is: the design of described step three-dimensional armament equipment model machine artificial intelligence comprises the following steps:

(1) set up the model of virtual armament equipment by 3DMax modeling software according to armament equipment inside and outside portion pictorial information, by pinup picture material, play up and make virtual equipment realistic simulation armament equipment;

(2) the action cartoon making of virtual equipment model is carried out by Ngrain, Eon, Virtools virtual software.

Further technical scheme is: described step builds Virtual Maintenance Training model machine and comprises the following steps:

(1) set up the hierarchical structure tree information of virtual prototype according to the hierarchical structure of equipment, comprise the system of virtual prototype, subsystem, subelement, subassembly information, complete the structure of virtual prototype essential information;

(2) specify that each equipment part or subsystem include normal condition and malfunction two class status information, under each parts are at a time in a certain concrete state; Define the concrete Status Name of often kind of parts normally and under malfunction and parameter, the characteristic information of correspondence thereof; The concrete corresponding states information of subassembly or subsystem under each subsystem or a certain state of subsystem can be defined, complete the structure of the state model information of virtual prototype;

(3) function between the multiple unit of complicated virtual prototype and fault relationship are described, prototype unit input and output and its son or unit input and output at the same level between relation, complete the structure of the association relation model information of virtual prototype;

(4) build parts interbehavior storehouse, in conjunction with the involved interactive operation information of each parts of three-dimensional artificial cartoon setting, thus build contacting of virtual prototype and three-dimensional artificial animation; By the operation-roles of setting parts, mode of operation, tool equipment and use-pattern thereof, operation indicating, correctly feed back the interaction models that behavior, error message, operation constraint and state change message set up parts; Often kind of parts according to operation and the difference and the behavior of feedback form definition distinct interaction that use tool equipment, can complete the interactive function model information of virtual prototype.

Further technical scheme is: fault diagnosis training flow process is according to the form design of fault tree in GJB/Z 768A-98.

Further technical scheme is: each fault diagnosis tree must have a phenomenon of the failure figure, at least one detecting step and failure cause, phenomenon of the failure figure can only connect a detecting step figure by line, detecting step figure at least connects a failure cause figure, can connect one or more detecting step, failure cause figure is that least significant end can not connect other figure, figure tree-shaped figure from top to bottom, often kind of figure can only connect other figure according to rule, can not certainly connect.

Further technical scheme is: described fault diagnosis training flow process encapsulates by popular tourism, issue with the form of fault diagnosis training data bag, can apply to the fault diagnosis training of standalone version, network edition pattern, fault diagnosis training data follows S1000D and SCORM data standard.

Further technical scheme is: set up equipment failure examining training packet information, according in maintenance job perhaps equipment configuration the subject training system of fault diagnosis training data bag is set, explanation demonstration is set under every grade of system, autonomous learning, guiding is trained, independently train, five kinds of different training modes of testing oneself, set up failture evacuation course content under each pattern;

Explanation demo mode: automatically play demonstration for fault diagnosis training flow content;

Self-learning Model: play demonstration from main control for fault diagnosis training flow content;

Guiding training mode: fault diagnosis training content is given to point out operation information, carries out fault diagnosis interactive operation by user, completes troubleshooting training, and under this pattern, user can select to inject fault at random or free trouble spot is trained;

Self test mode: do not have information in fault diagnosis training process, carries out fault diagnosis interactive operation by user oneself selection tool equipment, after failture evacuation completes, realizes system automatic scoring;

The design data of setting up of fault diagnosis training data bag and training system adopts the data standard meeting S1000D to set up the data file storage of * .tcp form, and fault diagnosis training content adopts the data standard meeting Scrom and S1000D to set up the data file of imsmanifest.xml, * .dmt, * .dgt, * .stp and metadata xml;

* .dmt file is for describing virtual interacting troubleshooting training content and the troubleshooting file relative path information of failture evacuation class;

* .dgt file stores troubleshooting procedure information, comprises phenomenon of the failure, detecting step essential information, step file relative path information, fault reason information, troubleshooting information, tool equipment information relative path information and figure relative path information;

* the procedure information that .stp file storage step is mutual, comprises the relative information of process flow diagram, tool equipment relative information, the essential information of step, interactive information, feedback information, information, problem formula problem answers option information and data and help information.

Further technical scheme is: fault diagnosis training is not identical according to its performance of different training modes, and fault diagnosis training form is divided into random injection fault and known fault to train two kinds of forms;

Guiding training mode: select to inject failure mode at random, training end provides phenomenon of the failure loaded and displayed, enter in failture evacuation interaction flow, user can carry out diagnostic operation according to information, when carrying out detection part information in fault diagnosis training flow process, system is according to judging whether it is that the trouble spot arranged gives to detect feedback information, if by the performance information of display fault after trouble spot Detection Information feedback, trouble spot is correctly found, whether system prompt carries out troubleshooting, and troubleshooting information or failture evacuation interactive operation are carried out in selection;

Self-learning Model: select free trouble spot training form, training end provides phenomenon of the failure loaded and displayed, enter the fault verification page and select failure cause point according to fault diagnosis training flow process tree, carry out direct fault location and load three-dimensional model machine, enter in failture evacuation interaction flow, user can carry out diagnostic operation according to information, when carrying out detection part information in fault diagnosis training flow process, system is according to judging whether it is that the trouble spot arranged gives to detect feedback information, if by the performance information of display fault after trouble spot Detection Information feedback, trouble spot correctly finds system prompt whether to carry out troubleshooting, troubleshooting information or failture evacuation interactive operation are carried out in selection,

Self test mode: self test mode end provides phenomenon of the failure loaded and displayed, enter in failture evacuation interaction flow, user carries out diagnostic operation voluntarily, when carrying out detection part information in fault diagnosis training flow process, system is according to judging whether it is that the trouble spot arranged gives to detect feedback information, if by the performance information of display fault after trouble spot Detection Information feedback, trouble spot correctly finds system prompt whether to carry out troubleshooting, and troubleshooting information or failture evacuation interactive operation are carried out in selection.

The beneficial effect that produces of technique scheme is adopted to be: the method can solve training effect in the training of armament equipment fault diagnosis and training quality problem, overcome current failure and diagnose the difficult problem faced, in order to improve training effect and quality, reduction training cost, Support Training safety, alleviate the deficiency of existing maintenance training means.

Accompanying drawing explanation

Below in conjunction with the drawings and specific embodiments, the present invention is further detailed explanation.

Fig. 1 is fault diagnosis training flow process in the present invention;

Fig. 2 is DMT data content figure in the present invention;

Fig. 3 is DGT data content figure in the present invention;

Fig. 4 is STP data content figure in the present invention;

Fig. 5 a-5b fault diagnosis training of the present invention process flow diagram;

Fig. 6 adds phenomenon of the failure information to arrange figure;

Fig. 7 is that failure cause essential information arranges figure;

Fig. 8 is that representation for fault arranges figure;

Fig. 9 fixes a breakdown to arrange figure;

Figure 10 is troubleshooting procedure figure;

Figure 11 is that the essential information of Detection Information arranges figure;

Figure 12 is detecting step process flow diagram.

Embodiment

Below in conjunction with the accompanying drawing in the embodiment of the present invention, be clearly and completely described the technical scheme in the embodiment of the present invention, obviously, described embodiment is only a part of embodiment of the present invention, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, belong to the scope of protection of the invention.

Set forth a lot of detail in the following description so that fully understand the present invention, but the present invention can also adopt other to be different from alternate manner described here to implement, those skilled in the art can when without prejudice to doing similar popularization when intension of the present invention, therefore the present invention is by the restriction of following public specific embodiment.

The invention discloses a kind of ordnance fault diagnosis training method, described method carries out the setting of three-dimensional fault by equipment Virtual Maintenance Training data mining system constructing equipment virtual faults diagnosis course, is distributed to the form of training data bag the virtual training that equipment Virtual maintenance of nuclear carries out the fault diagnosis of equipping.Concrete fault diagnosis training performance history comprises following five steps:

Step one: Virtual Maintenance Prototyping is set up.

(1) fault knowledge, data compilation

General eliminating fault needs the method known the performance of phenomenon of the failure, troubleshooting testing process, fault, fix a breakdown.Arrange existing fault knowledge information, material and data information according to this thinking, deposit according to the different-format of type, the steps flow chart form of design troubleshooting.

(2) three-dimensional model machine artificial intelligence design

1) set up the model of virtual equipment by 3DMax modeling software according to equipment inside and outside pictorial information, by pinup picture material, play up and make virtual equipment realistic simulation actual load;

2) the action cartoon making of virtual equipment model is carried out by virtual softwares such as Ngrain, Eon, Virtools.

(3) virtual prototype is built

Virtual prototype is made up of essential information, state model information, functional mode information, association relation model information, interaction models information, states different under setting up its fault and normal information, function, incidence relation, association between interactive information and the action of three-dimensional model machine.

1) virtual prototype essential information

Set up the hierarchical structure tree information of virtual prototype according to the hierarchical structure of equipment, comprise the system of virtual prototype, subsystem, subelement, subassembly information.

2) the state model information of virtual prototype

Specify that each equipment part or subsystem include normal condition and malfunction two class status information, under each parts are at a time in a certain concrete state.Define the concrete Status Name of often kind of parts normally and under malfunction and the information such as parameter, feature of correspondence thereof.The concrete corresponding states information of subassembly or subsystem under each subsystem or a certain state of subsystem can be defined.

3) the association relation model information of virtual prototype

Association relation model is then for describing function between the multiple unit of complicated virtual prototype and fault relationship.Relation between prototype unit input and output and its son (or at the same level) unit input and output.

4) the interactive function model information of virtual prototype

Build parts interbehavior storehouse, in conjunction with the involved interactive operation information of each parts of three-dimensional artificial cartoon setting, thus build contacting of virtual prototype and three-dimensional artificial animation.By the operation-roles of setting parts, mode of operation, tool equipment and use-pattern thereof, operation indicating, correctly feed back the interaction models that behavior, error message, operation constraint and state change message set up parts.Often kind of parts can according to operation and the difference and the behavior of feedback form definition distinct interaction that use tool equipment.

Step 2: fault diagnosis training flow scheme design

Fault diagnosis training flow process trains flow scheme design with reference to the form design of fault tree in GJB/Z 768A-98 based on the fault diagnosis of fault diagnosis tree.Fault diagnosis tree is made up of phenomenon of the failure, detecting step, failure cause graphical symbol, carry out phenomenon of the failure for phenomenon of the failure, detecting step, failure cause, detect operating process, trouble spot, fault performance, troubleshooting method and operation information setting, as shown in Figure 1.

Phenomenon of the failure round rectangle symbol represents, detecting step rectangular graph symbol represents, failure cause circle symbol represents.

The making rule of fault diagnosis tree: each fault diagnosis tree must have a phenomenon of the failure figure, at least one detecting step and failure cause composition, phenomenon of the failure figure can only connect a detecting step figure by line; Detecting step figure at least connects a failure cause figure, can connect one or more detecting step; Failure cause figure is that least significant end can not connect other figure.Figure tree-shaped figure from top to bottom, often kind of figure can only connect other figure according to rule, can not certainly connect.

The establishment step of fault tree is as follows:

(1) add " phenomenon of the failure ", phenomenon of the failure information is set; Phenomenon of the failure be in training system to trainee show fault performance information, three-dimensional animation information, video, word, picture or picture and text form can be adopted to present, as shown in Figure 6;

(2) add " failure cause ", fault reason information is set;

Essential information is the setting of trouble spot, trouble unit and malfunction thereof, as shown in Figure 7;

Representation for fault, for after trainee finds trouble spot, representing of fault part or trouble location, can adopt three-dimensional animation information, video, word, picture or picture and text form to present, as shown in Figure 8;

Troubleshooting is set to the information how getting rid of this fault after trainee looks for trouble spot, three-dimensional animation information, video, word, picture or picture and text form can be adopted to tell how trainee fixes a breakdown, also can adopt Step Information, repair and replacement operating process is set, as shown in Figure 9;

Troubleshooting arranges middle selection " Step Information ", clicks " treatment measures such as taking replacing, adjustment, maintenance operation of fixing a breakdown setting " link, in the maintenance training process model building forms ejected, arranges troubleshooting steps flow chart, click and preserve, as shown in Figure 10.

(3) add " detection ", Detection Information is set, the setting wherein " preparing before detection, detect, detect rear operation setting " and the interpolation of maintenance training process, as shown in figure 11;

(4) detecting step design, designs consistent with maintenance process modeling, as shown in figure 12;

(5) continue to add control, connect control also completes flow process;

(6) input fault tree title, preserves.

Fault diagnosis training flow process adopts the flow scheme design close to fault tree, is convenient to existing data and three-dimensional artificial data to combine the training data being converted into fault diagnosis training flow process.In conjunction with the design of three-dimensional artificial, fault diagnosis training form is made to adopt interactively virtual training means, in order to improve training effect and training quality.

Step 3: fault diagnosis course and account design

Fault diagnosis training data presses popular tourism encapsulation, issues with the form of fault diagnosis training data bag, can apply to the fault diagnosis training of standalone version, network edition pattern.Fault diagnosis training data follows S1000D and SCORM data standard.

Set up equipment failure examining training packet information, according in maintenance job perhaps equipment configuration the subject training system of fault diagnosis training data bag is set, explanation demonstration is set under every grade of system, autonomous learning, guiding is trained, independently train, five kinds of different training modes of testing oneself, set up failture evacuation course content under each pattern.

Explanation demo mode: automatically play demonstration for fault diagnosis training flow content.

Self-learning Model: play demonstration from main control for fault diagnosis training flow content.

Guiding training mode: fault diagnosis training content is given to point out operation information, carries out fault diagnosis interactive operation by user, completes troubleshooting training.Under this pattern, user can select to inject fault at random or free trouble spot is trained.

Self test mode: do not have information in fault diagnosis training process, carries out fault diagnosis interactive operation by user oneself selection tool equipment, after failture evacuation completes, realizes system automatic scoring.

The design data of setting up of fault diagnosis training data bag and training system adopts the data standard meeting S1000D to set up the data file storage of * .tcp form, and fault diagnosis training content adopts the data standard meeting Scrom and S1000D to set up the data file of imsmanifest.xml, * .dmt, * .dgt, * .stp and metadata xml.

DMT file for describing virtual interacting troubleshooting training content and the troubleshooting file relative path information of failture evacuation class, as shown in Figure 2.

DGT file stores troubleshooting procedure information, comprises phenomenon of the failure, detecting step essential information, step file relative path information, fault reason information, troubleshooting information, tool equipment information relative path information, figure relative path information etc., as shown in Figure 3.

The procedure information that STP file storage step is mutual, comprise the relative information of process flow diagram, tool equipment relative information, the essential information of step, interactive information, feedback information, information, problem formula problem answers option information, data and help information etc., as shown in Figure 4.

Step 4: fault diagnosis training data bag is issued

Fault diagnosis data is issued with the form of packet, is convenient to sharing and distributed deployment of data.Fault diagnosis training data meets the standard of S1000D and Scrom data, is convenient to its internationalization.

Step 5: fault diagnosis is trained

Fault diagnosis training is not identical according to its performance of different training modes, and fault diagnosis training form is divided into random injection fault and known fault to train two kinds of forms.Specifically as shown in Fig. 5 a-5b:

Guiding training mode: select to inject failure mode at random, training end provides phenomenon of the failure loaded and displayed, enter in failture evacuation interaction flow, user can carry out diagnostic operation according to information, when carrying out detection part information in fault diagnosis training flow process, system is according to judging whether it is that the trouble spot arranged gives to detect feedback information, if by the performance information of display fault after trouble spot Detection Information feedback, trouble spot correctly finds system prompt whether to carry out troubleshooting, and troubleshooting information or failture evacuation interactive operation are carried out in selection.

Select free trouble spot training form, training end provides phenomenon of the failure loaded and displayed, enter the fault verification page and select failure cause point according to fault diagnosis training flow process tree, carry out direct fault location and load three-dimensional model machine, enter in failture evacuation interaction flow, user can carry out diagnostic operation according to information, when carrying out detection part information in fault diagnosis training flow process, system is according to judging whether it is that the trouble spot arranged gives to detect feedback information, if by the performance information of display fault after trouble spot Detection Information feedback, trouble spot correctly finds system prompt whether to carry out troubleshooting, troubleshooting information or failture evacuation interactive operation are carried out in selection.

Autonomous training is similar with guiding training, does not singly have information.

Self test mode training end provides phenomenon of the failure loaded and displayed, enter in failture evacuation interaction flow, user carries out diagnostic operation voluntarily, when carrying out detection part information in fault diagnosis training flow process, system is according to judging whether it is that the trouble spot arranged gives to detect feedback information, if by the performance information of display fault after trouble spot Detection Information feedback, trouble spot correctly finds system prompt whether to carry out troubleshooting, and troubleshooting information or failture evacuation interactive operation are carried out in selection.

The method can solve armament equipment fault diagnosis training in training effect and training quality problem, overcome current failure and diagnose the difficult problem faced, in order to improve training effect and quality, reduction training cost, Support Training safety, alleviate the deficiency of existing maintenance training means.

Claims (9)

1. an armament equipment fault diagnosis training method, is characterized in that comprising the following steps:
(1) Virtual Maintenance Training model machine is set up;
(2) the fault diagnosis training flow process of Virtual Maintenance Training model machine is set;
(3) popular tourism encapsulation is pressed to fault diagnosis training flow process;
(4) packaged fault diagnosis training flow process is issued;
(5) fault diagnosis training is carried out by Virtual Maintenance Training environment.
2. armament equipment fault diagnosis training method according to claim 1, is characterized in that setting up Virtual Maintenance Training model machine comprises the following steps:
(1) collection of multiple armament equipment failure message and typing;
(2) three-dimensional armament equipment model machine artificial intelligence design;
(3) Virtual Maintenance Training model machine is built.
3. armament equipment fault diagnosis training method according to claim 2, is characterized in that the design of described step three-dimensional armament equipment model machine artificial intelligence comprises the following steps:
(1) set up the model of virtual armament equipment by 3DMax modeling software according to armament equipment inside and outside portion pictorial information, by pinup picture material, play up and make virtual equipment realistic simulation armament equipment;
(2) the action cartoon making of virtual equipment model is carried out by Ngrain, Eon, Virtools virtual software.
4. armament equipment fault diagnosis training method according to claim 2, is characterized in that described step builds Virtual Maintenance Training model machine and comprises the following steps:
(1) set up the hierarchical structure tree information of virtual prototype according to the hierarchical structure of equipment, comprise the system of virtual prototype, subsystem, subelement, subassembly information, complete the structure of virtual prototype essential information;
(2) specify that each equipment part or subsystem include normal condition and malfunction two class status information, under each parts are at a time in a certain concrete state; Define the concrete Status Name of often kind of parts normally and under malfunction and parameter, the characteristic information of correspondence thereof; The concrete corresponding states information of subassembly or subsystem under each subsystem or a certain state of subsystem can be defined, complete the structure of the state model information of virtual prototype;
(3) function between the multiple unit of complicated virtual prototype and fault relationship are described, prototype unit input and output and its son or unit input and output at the same level between relation, complete the structure of the association relation model information of virtual prototype;
(4) build parts interbehavior storehouse, in conjunction with the involved interactive operation information of each parts of three-dimensional artificial cartoon setting, thus build contacting of virtual prototype and three-dimensional artificial animation; By the operation-roles of setting parts, mode of operation, tool equipment and use-pattern thereof, operation indicating, correctly feed back the interaction models that behavior, error message, operation constraint and state change message set up parts; Often kind of parts according to operation and the difference and the behavior of feedback form definition distinct interaction that use tool equipment, can complete the interactive function model information of virtual prototype.
5. armament equipment fault diagnosis training method according to claim 1, is characterized in that: fault diagnosis training flow process is according to the form design of fault tree in GJB/Z 768A-98.
6. armament equipment fault diagnosis training method according to claim 5, it is characterized in that: each fault diagnosis tree must have a phenomenon of the failure figure, at least one detecting step and failure cause, phenomenon of the failure figure can only connect a detecting step figure by line, detecting step figure at least connects a failure cause figure, can connect one or more detecting step, failure cause figure is that least significant end can not connect other figure, figure tree-shaped figure from top to bottom, often kind of figure can only connect other figure according to rule, can not certainly connect.
7. armament equipment fault diagnosis training method according to claim 1, it is characterized in that: described fault diagnosis training flow process encapsulates by popular tourism, issue with the form of fault diagnosis training data bag, can apply to the fault diagnosis training of standalone version, network edition pattern, fault diagnosis training data follows S1000D and SCORM data standard.
8. armament equipment fault diagnosis training method according to claim 7, it is characterized in that: set up equipment failure examining training packet information, according in maintenance job perhaps equipment configuration the subject training system of fault diagnosis training data bag is set, explanation demonstration is set under every grade of system, autonomous learning, guiding is trained, independently train, five kinds of different training modes of testing oneself, set up failture evacuation course content under each pattern;
Explanation demo mode: automatically play demonstration for fault diagnosis training flow content;
Self-learning Model: play demonstration from main control for fault diagnosis training flow content;
Guiding training mode: fault diagnosis training content is given to point out operation information, carries out fault diagnosis interactive operation by user, completes troubleshooting training, and under this pattern, user can select to inject fault at random or free trouble spot is trained;
Self test mode: do not have information in fault diagnosis training process, carries out fault diagnosis interactive operation by user oneself selection tool equipment, after failture evacuation completes, realizes system automatic scoring;
The design data of setting up of fault diagnosis training data bag and training system adopts the data standard meeting S1000D to set up the data file storage of * .tcp form, and fault diagnosis training content adopts the data standard meeting Scrom and S1000D to set up the data file of imsmanifest.xml, * .dmt, * .dgt, * .stp and metadata xml;
* .dmt file is for describing virtual interacting troubleshooting training content and the troubleshooting file relative path information of failture evacuation class;
* .dgt file stores troubleshooting procedure information, comprises phenomenon of the failure, detecting step essential information, step file relative path information, fault reason information, troubleshooting information, tool equipment information relative path information and figure relative path information;
* the procedure information that .stp file storage step is mutual, comprises the relative information of process flow diagram, tool equipment relative information, the essential information of step, interactive information, feedback information, information, problem formula problem answers option information and data and help information.
9. armament equipment fault diagnosis training method according to claim 8, it is characterized in that: fault diagnosis training is not identical according to its performance of different training modes, fault diagnosis training form is divided into random injection fault and known fault to train two kinds of forms;
Guiding training mode: select to inject failure mode at random, training end provides phenomenon of the failure loaded and displayed, enter in failture evacuation interaction flow, user can carry out diagnostic operation according to information, when carrying out detection part information in fault diagnosis training flow process, system is according to judging whether it is that the trouble spot arranged gives to detect feedback information, if by the performance information of display fault after trouble spot Detection Information feedback, trouble spot is correctly found, whether system prompt carries out troubleshooting, and troubleshooting information or failture evacuation interactive operation are carried out in selection;
Self-learning Model: select free trouble spot training form, training end provides phenomenon of the failure loaded and displayed, enter the fault verification page and select failure cause point according to fault diagnosis training flow process tree, carry out direct fault location and load three-dimensional model machine, enter in failture evacuation interaction flow, user can carry out diagnostic operation according to information, when carrying out detection part information in fault diagnosis training flow process, system is according to judging whether it is that the trouble spot arranged gives to detect feedback information, if by the performance information of display fault after trouble spot Detection Information feedback, trouble spot correctly finds system prompt whether to carry out troubleshooting, troubleshooting information or failture evacuation interactive operation are carried out in selection,
Self test mode: self test mode end provides phenomenon of the failure loaded and displayed, enter in failture evacuation interaction flow, user carries out diagnostic operation voluntarily, when carrying out detection part information in fault diagnosis training flow process, system is according to judging whether it is that the trouble spot arranged gives to detect feedback information, if by the performance information of display fault after trouble spot Detection Information feedback, trouble spot correctly finds system prompt whether to carry out troubleshooting, and troubleshooting information or failture evacuation interactive operation are carried out in selection.
CN201410818865.9A 2014-12-25 2014-12-25 Armament equipment fault diagnosis training method CN104503442B (en)

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CN106598020A (en) * 2016-11-02 2017-04-26 中国人民解放军济南军区72465部队 BIT and case fusion based equipment fault diagnosis method and system
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