CN107944684A - Numerical control equipment faulty components importance analysis and device - Google Patents
Numerical control equipment faulty components importance analysis and device Download PDFInfo
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- CN107944684A CN107944684A CN201711137834.7A CN201711137834A CN107944684A CN 107944684 A CN107944684 A CN 107944684A CN 201711137834 A CN201711137834 A CN 201711137834A CN 107944684 A CN107944684 A CN 107944684A
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Abstract
The invention discloses a kind of numerical control equipment faulty components importance analysis and device, the described method includes:Step 1:Establish numerical control equipment availability functionality expansion model;Step 2:The initial importance of numerical control equipment component is calculated based on Extension AHP;Step 3:Inter-module auto-correlation relational matrix is built, calculating each component of numerical control equipment according to the auto-correlation relational matrix and initial importance corrects importance;Step 4:The competitive evaluations matrix of construction, corrects importance to component and further corrects.The present invention asks for more realistically reflecting user demand towards the final importance of component of usability requirements, improves and provides safeguard for follow-up availability.
Description
Technical field
The invention belongs to reliability of numerical control equipment analysis field, more particularly to numerical control equipment faulty components Significance Analysis side
Method and device.
Background technology
With growth of the progress, user of science and technology to numerical control equipment properties of product individual demand, numerical control equipment knot
Structure is increasingly complicated, and function is more and more perfect, and potential faults and unreliable factor are also increasing, may if there is failure
Heavy losses are caused, so that the research of reliability of numerical control equipment basic technology is increasingly paid attention to be subject to domestic and foreign scholars.
Accurately definite numerical control equipment key subsystem, finds out availability weak link, and then numerical control equipment is kept long-term available shape
State, realize that availability level is substantially improved and be considered extremely important to the domestic numerical control equipment industrial market competitiveness of enhancing.
For the problem, have many scholars both at home and abroad and carried out numerous studies.Research is mainly included according to product failure
Mechanism, utilizes fault mode, influence and HAZAN (Failuremode effects and criticality
Analysis, FMECA) method looks for the subsystem of density of infection maximum, determine key subsystem;Closed according to product failure transmission
System, is carried out using technologies such as event tree, failure tree analysis (FTA) (Fault tree analysis, FTA), the analysis of GO methods, Petri networks
Accident analysis;By each subassembly of product and the functional relation of whole aircraft reliability parameter, subassembly failure disturbance degree etc. is obtained.Have
Document is used is attached device melting loss accident analysis with analysis of causes method by event tree, presents the application process of the method, takes off
Path and the failure mechanism that top event is reached with reason are shown.There is document using Fault Tree Analysis to NC Lathe Feed Drive System
Qualitative analysis is carried out, and fault tree is quantitatively probed into using expert linguistic evaluation assessment, top event is obtained and fuzzy probability occurs,
By calculating the Fuzzy importance of each bottom event, the specific weak link of the system is obtained, there is provided a kind of probability of malfunction information
The method of failure tree analysis (FTA) under serious loss.There is document to be based on certain machine tool hydraulic system Fault Mechanism Analysis, construct the system
Reliability diagnosis GO models, there is provided Quantitative Reliability calculates and the method for failure mode analysis (FMA).There is document to go by building
Car system Petri net model, there is provided the method for system minimal cutset is asked for using Petri network incidence matrix, and is calculated on top
The probability of happening of event and the critical importance coefficient of elementary event.There is document to join by each subassembly of product with whole aircraft reliability
Several functional relations is big come the contribution that clear and definite subsystem fault occurs that machine failure occurs by the disturbance degree of computing subsystem
It is small.Although the above method is applied in Usability Study to some extent, belong to single-factor analysis therapy, and study angle all
It is from product, is carried out based on the running fault statistics data of product.And combine active user and drive production
The overall background of product upgrading sees that the numerical control equipment of user guiding is increasingly received by the market.Current Usability Study is not yet full
Usability requirements of the sufficient users to numerical control equipment.Simultaneously as user differs for numerical control equipment usability requirements, to each
The attention degree of a demand parameter also has difference, and each component also has each demand parameter different influence degrees, and event
There is the interaction relationship of complexity between barrier.
Therefore, how to realize and meet user demand in time, demand information is realized to numerical control equipment key component availability
Effective conversion of improvement project, is that there is an urgent need to solve at present by those skilled in the art so as to strengthen numerical control equipment availability level
Technical problem certainly.
The content of the invention
To overcome above-mentioned the deficiencies in the prior art, the present invention provides a kind of numerical control equipment faulty components Significance Analysis side
Method and device, use for reference (Quality function deployment, QFD) thought, and from user demand, taking into account user needs
Ask and its correlation between weight, numerical control equipment faulty components autocorrelation and each faulty components and user availability demand, city
Multiple dimensions such as field competition information, establish numerical control equipment availability room (House of availability, HOA), can use
(Availability function deployment, AFD) is unfolded in sexual function, is mostly to make up numerical control equipment Usability Study
Single factor analysis and the defects of being based on product itself more.In utilization, by numerical control equipment availability room (House of
Availability, HOA) " and Extension AHP (Extensible Analytic Hierarchy Process,
EAHP integration technology), obtains each component importance of numerical control equipment, while has effect to method implementation according to machining center example
Card.
To achieve the above object, the present invention adopts the following technical scheme that:
A kind of numerical control equipment faulty components importance analysis, comprises the following steps:
Step 1:Establish numerical control equipment availability functionality expansion model;
Step 2:The initial importance of numerical control equipment component is calculated based on Extension AHP;
Step 3:Inter-module auto-correlation relational matrix is built, is calculated according to the auto-correlation relational matrix and initial importance
Each component of numerical control equipment corrects importance;
Step 4:The competitive evaluations matrix of construction, corrects importance to component and further corrects.
Further, the availability functionality expansion model is room model.
Further, the left wall of room model is user availability demand parameter and its weight;Right wall is commented for market competition
Valency;Dependency relation matrix of the room between user demand and each component of numerical control equipment product;Roof is each inter-module auto-correlation
Relational matrix;Floor is component importance.
Further, the step 2 includes:
Step 2.1:That establishes a certain item usability requirements and dependent failure component related coefficient opens up judgment matrix;
Step 2.2:Correlation matrix is calculated according to the judgment matrix of opening up;
Step 2.3:According at the beginning of user availability demand weight and the correlation matrix calculate each component of numerical control equipment
Beginning importance.
Further, the step 2.2 includes:
Step 2.2.1:If A=A-,A+Judgement is opened up for a certain item usability requirements and dependent failure component related coefficient
Matrix, acquisition and A-,A+The corresponding normalization characteristic vector x for having positive component of maximum eigenvalue-,x+;
Step 2.2.2:According toK, m are obtained, wherein,Respectively the i-th row of judgment matrix jth
Row can open up the upper and lower endpoint of interval element;
Step 2.2.3:According to S=(S1,…S2,…SN)T=kx-,mx+Ask dependency relation coefficient vector, wherein S1,…
S2,…SNFor interval number;
Step 2.2.4:Calculate the related coefficient of a certain item usability requirements and dependent failure component:Make riRepresent a certain item
Usability requirements and the dependency relation coefficient of i-th dependent failure component, according toCalculate
Go out the interval number S in related coefficient vectori≥SjThe possibility of (i, j=1,2 ... N) is V (Si≥Sj), if V (Si≥Sj)≥
0, then D1=0, Di=V (Si≥Sj), the vectorial D=(D that will be obtained1,D2,…,DN)TAfter normalization, vector (r is obtained1,r2,…,
rN)TRepresent a certain item usability requirements and the related coefficient vector of dependent failure component, wherein, a=a-,a+, b=b-,b+For 2
It is a to open up interval number.
Further, the initial importance calculation formula of each component of numerical control equipment is in the step 2.3:
Wherein, rijRepresent j-th of components availability demand and the related coefficient of i-th of component;wiRepresent that i-th of component is used
Family usability requirements weight, m represent associated component number.
Further, the step 3 includes:
Step 3.1:According to numerical control equipment fault message, determine the relation that influences each other of inter-module, construct auto-correlation relation
Matrix;
Step 3.2:Calculate contribution degree of each component to usability requirements, i.e. component importance.
Further, the step 4 includes:
Step 4.1:The competitive evaluations matrix of construction, corrects usability requirements index weights;
Step 4.2:Based on modified usability requirements index weights, component importance is corrected.
Second purpose according to the present invention, present invention also offers a kind of numerical control equipment faulty components Significance Analysis dress
Put, including memory, processor and storage are on a memory and the computer program that can run on a processor, the processor
The numerical control equipment faulty components importance analysis is realized when performing described program.
3rd purpose according to the present invention, present invention also offers a kind of computer-readable recording medium, is stored thereon with
Computer program, performs the numerical control equipment faulty components importance analysis when which is executed by processor.
Beneficial effects of the present invention
1st, invention introduces HOA and EAHP models, from user availability demand, according to the event of numerical control equipment inter-module
Hinder dependency relation, carry out the integrated research method of multi input item.Numerical control equipment component importance is obtained by the method, for institute
The availability corrective measure that significant components are implemented with emphasis is obtained, family and the market demand can be used farthest to be met.
2nd, for dependency relation coefficient in HOA models and auto-correlation coefficient of relationship there is uncertain feature in the present invention, adopt
Calculated with Extension AHP, there is provided a kind of decision-making technique for solving model and there is uncertain feature.It is striked
The final importance of component towards usability requirements can more realistically reflect user demand and be provided for the improvement of follow-up availability
Ensure.Meanwhile by considering inter-module auto-correlation relation come computation module importance, making the availability of numerical control equipment, improve can
Preferably meet technical requirements.
3rd, market competitiveness is evaluated and is combined with numerical control equipment user demand information by the present invention, and introduces attraction, is corrected
Usability requirements index weight, then obtains taking into account the usability requirements weight of user, competition among enterprises opponent, can make enterprise more
Specify the market position and improvement direction of lathe availability.The improvement that the competitiveness weight is converted into component importance at the same time is competing
Striving property, enhances the competitiveness and specific aim of availability corrective measure, meets product user and market usability requirements, finally
Cost used can be made minimum, and the market competition force efficiency of Product Usability reaches highest, to the availability of numerical control equipment product
Improve the guidance for providing science reality.
Brief description of the drawings
The accompanying drawings which form a part of this application are used for providing further understanding of the present application, and the application's shows
Meaning property embodiment and its explanation are used to explain the application, do not form the improper restriction to the application.
Fig. 1 is numerical control equipment availability room model of the present invention.
Embodiment
It is noted that described further below is all illustrative, it is intended to provides further instruction to the application.It is unless another
Indicate, all technical and scientific terms used herein has usual with the application person of an ordinary skill in the technical field
The identical meanings of understanding.
It should be noted that term used herein above is merely to describe embodiment, and be not intended to restricted root
According to the illustrative embodiments of the application.As used herein, unless the context clearly indicates otherwise, otherwise singulative
It is also intended to include plural form, additionally, it should be understood that, when in the present specification using term "comprising" and/or " bag
Include " when, it indicates existing characteristics, step, operation, device, component and/or combinations thereof.
In the case where there is no conflict, the feature in the embodiment and embodiment in the application can be mutually combined.
Embodiment one
Present embodiment discloses a kind of numerical control equipment faulty components importance analysis, comprise the following steps:
Step 1:Establish numerical control equipment availability functionality expansion model;
QFD is Japanese Quality Expert red tail ocean two and wild to grow create a kind of by customer needs conversion be design requirement to water
Instrument, it can be with apparent market and user demand by the matrix analysis of Planning Model for House of Quality, and realizes the conversion to detailed countermeasure.
This thought is used for reference, constructs numerical control equipment availability room model, as shown in Figure 1.
Wherein, left wall is user demand index and its weight;Right wall is evaluated for market competition;Room, user demand and number
Dependency relation matrix between control equipment each component of product;Roof is each inter-module auto-correlation relational matrix;Floor, is examined for synthesis
Consider the component importance of user demand and each inter-module auto-correlation relation.
Product is equipped by domestic numerical control --- exemplified by certain series machining center, component importance is asked for using the above method.
By in-depth interview, the work such as questionnaire and expert consulting obtains usability requirements index failure rate C1, precision stability C2,
Fault diagnosis C3, maintenance complexity C4, meet the man-machine ring engineering C of maintenance5, maintenance cost C6With maintenance time C7。
This research, which is intended first carrying out " left wall " and " room ", to be analyzed, and obtains the initial importance of numerical control equipment component;Then examine
Consider " roof " each inter-module autocorrelation matrix, obtain component and correct importance;The market assessment information of " right wall " is finally combined, really
Fixed each final importance of component.
Step 2:The initial importance of numerical control equipment component is calculated based on Extension AHP;
Step 2.1:Foundation can open up judgment matrix
The process that foundation can open up judgment matrix is exactly the process of scalarization.Scalarization refers to by certain scale system,
Various initial data are converted into the process for the standardization form that can directly compare.
Theorem 1:It is all extendible sets on domain U to make E (U), it is assumed that a=a-,a+∈ E (U), then u is on the simple of a
Correlation function Ka(u) following formula can be used to represent
Wherein, a=a-,a+=x | 0 < a-< x < a+Be known as that interval number, symbol a can be opened up-,a+It can include and also not include
Endpoint a-Or a+。
For each single item usability requirements index, according to each component own characteristic of machining center, utilization can open up step analysis
Method calculates the related coefficient between requirement item and associated faulty components.Collectively constituted by the technology of producer, administrative staff
One group of expert group compares construction Extension Interval Number Judgement Matrix (a at different levels according to 1-9 scaling laws principle two-by-twoij)n×n, i, j=1,
2 ..., n, is positive reciprocal matrix, whereinInterval number can be opened up by being one,Respectively judgment matrix i-th
Row jth arranges the upper and lower endpoint that can open up interval element.
Step 2.2:The calculating of related coefficient
More accurately to calculate related coefficient, following 2 theorems are introduced.
Theorem 2. makes A=(aij)N×NTo have met the judgment matrix of opening up of consistency check, x-And x+It is respectively A-, A+Belong to
The normalization characteristic vector for having positive component of its maximum eigenvalue, then A to all feature vector ω of its maximum eigenvalue=
kx-,mx+=(ω1,ω2,…ωN)TMeetSufficient and necessary condition be
To take into accountExpression formula and two endpoints of weight vectors symmetry, have
Theorem 3. sets a=a-,a+, b=b-,b+Interval number can be opened up for 2, and the possibility V (a >=b) of a >=b can be byCalculate.If A=A-,A+It is related to relevant faulty components for a certain item usability requirements
Coefficient opens up judgment matrix, and has passed through consistency check, to determine that the usability requirements are related to every faulty components
Coefficient, also needs to follow the steps below calculating:
(1) acquisition and A-,A+The corresponding normalization characteristic vector x for having positive component of maximum eigenvalue-,x+。
(2) k, m are obtained according to theorem 2.
(3) according to S=(S1,…S2,…SN)T=kx-,mx+Ask dependency relation coefficient vector, wherein S1,…S2,…SNFor
Interval number.
(4) related coefficient of a certain item usability requirements and each associated faulty components is calculated.Make riRepresent certain
One usability requirements and the dependency relation coefficient of i-th dependent failure component, related coefficient vector can be calculated according to theorem 3
In interval number Si≥SjThe possibility of (i, j=1,2 ... N) is V (Si≥Sj), if V (Si≥Sj) >=0, then D1=0, Di=V
(Si≥Sj), the vectorial D=(D that will be obtained1,D2,…,DN)TAfter normalization, vector (r is obtained1,r2,…,rN)TRepresent a certain item
The related coefficient vector of usability requirements and every associated faulty components.
Similarly, the auto-correlation coefficient of relationship of faulty components item can equally be determined using the above method.
Step 2.3:The initial importance of numerical control equipment
Use ujRepresent the initial importance of each component of numerical control equipment, user's usability requirements weight W can be passed throughiNeeded with availability
Seek the correlation matrix R between each componentn*mIt is calculated, its calculation formula is:
Wherein, rijRepresent j-th of components availability demand and the related coefficient of i-th of component;wiRepresent that i-th of component is used
Family usability requirements weight, m represent associated component number.
Step 3:Inter-module auto-correlation relational matrix is built, is calculated according to the auto-correlation relational matrix and initial importance
Each component of numerical control equipment corrects importance;
Dependency relation between numerical control equipment component, which is mainly manifested in a component faults, causes other assemblies to produce failure,
There are failure transitivity.According to numerical control equipment fault message, determine the relation that influences each other of inter-module, construct auto-correlation relation square
Battle array.
After the autocorrelation matrix for obtaining numerical control equipment inter-module, obtaining taking into account each component of failure dependency needs availability
The contribution degree asked, also referred to as component importance, are set to u'j, the value is according to formula (4) acquisition
u'j=u1·Ej1+u2·Ej2+…uj·Ejj+um·Ejm (4)
Calculated by above-mentioned formula, it is possible to increase in the importance for influencing source component.
Step 4:The competitive evaluations matrix of construction, corrects importance to component and further corrects.
To obtain more accurate component importance, so that the availability improved technology carried out accordingly is more targeted, energy
Meet the usability requirements in user and market at the same time.The demand parameter of similar numerical control equipment product need to be showed and implement market survey
With assessment, competitive evaluations matrix is constructed, market competition evaluation information is combined with numerical control equipment user demand information, repaiies
Positive usability requirements index weights.
This enterprise and other (l-1) a competitive enterprises are denoted as P respectively1,P2,P3,…Pl, obtain market competition evaluation square
Battle array CS={ CSji, j=1 ..., l, i=1 ..., n }.Market competitiveness evaluation refers to for customer demand satisfaction degree, to competing
Strive this enterprise of in the market and evaluation that competitive enterprise's product is done.It is assumed that the desired value corresponding to each demand parameter is set
Oi.So competitiveness cs' of the j enterprises on each demand parameterjiGap with desired value is called market competition increment Delta.Order is originally
The availability market growth of enterprise is Δ1, the average market increment of rival is Δ2, the two can use following equation to calculate:
Wherein i=1,2 ..., n;Δ1It is bigger, Δ2It is smaller, show in terms of availability, which is cured
Difference, the competition faced are further fierce.It is pointed out that because of given target value OiNot only to competing increment Delta1Impact
And Δ can be influenced2, therefore OiSelecting for a post what numerical value does not influence final result.
According to formulaNumerical control equipment availability market competition increment factor can be obtained.The value size discloses
Corresponding usability requirements index weights size.Competition increment factor is incorporated herein, has taken into account the residing ground of this enterprise market competition
Position and the competitiveness of other enterprises, so meeting further with objective reality.
By " attraction " concept introduce market competitiveness evaluation process, for consumer, attraction, that is, product cater to target by
Many demand points.Usually have by force, in, it is each to be represented using numeral 1.5,1.2 and 1 without 3 different brackets.Make demand parameter Ci
Attraction be SPci.If customer extremely values the demand of the index, and the product is for competitive enterprise's similar product
There is the competitive advantage of higher, then illustrate " attraction " by force, if customer is not bery valued by the index demand or oneself is in the index
Competitive advantage is not it is obvious that then illustrating that " attraction " is Middle grade compared to competitive enterprise's similar product.
Thus, index C is obtainediModifying factor
Final demand weight
Fi=Wi×r'i, i=1,2 ..., n (7)
After normalized, it can obtain:
User demand and competition among enterprises opponent's information are taken into account, user demand index final weight f=(f can be obtained1,
f2,…,fn)。
Final component importance is obtained based on the user demand index final weight:
Embodiment two
The purpose of the present embodiment is to provide a kind of computing device.
A kind of numerical control equipment faulty components Significance Analysis device, including memory, processor and storage are on a memory
And the computer program that can be run on a processor, the processor realize following steps when performing described program, including:
Step 1:Establish numerical control equipment availability functionality expansion model;
Step 2:The initial importance of numerical control equipment component is calculated based on Extension AHP;
Step 3:Inter-module auto-correlation relational matrix is built, is calculated according to the auto-correlation relational matrix and initial importance
Each component of numerical control equipment corrects importance;
Step 4:The competitive evaluations matrix of construction, corrects importance to component and further corrects.
Embodiment three
The purpose of the present embodiment is to provide a kind of computer-readable recording medium.
A kind of computer-readable recording medium, is stored thereon with computer program, is calculated for fingerprint similarity, should
Following steps are performed when program is executed by processor:
Step 1:Establish numerical control equipment availability functionality expansion model;
Step 2:The initial importance of numerical control equipment component is calculated based on Extension AHP;
Step 3:Inter-module auto-correlation relational matrix is built, is calculated according to the auto-correlation relational matrix and initial importance
Each component of numerical control equipment corrects importance;
Step 4:The competitive evaluations matrix of construction, corrects importance to component and further corrects.
Each step involved in the device of above example two and three is corresponding with embodiment of the method one, embodiment
Reference can be made to the related description part of embodiment one.Term " computer-readable recording medium " is construed as including one or more
The single medium or multiple media of instruction set;Any medium is should also be understood as including, any medium can be stored, compiled
Code or carrying are used for the instruction set performed by processor and processor is performed the either method in the present invention.
The present invention is from user availability demand, according to numerical control equipment inter-module failure dependency relation, the numerical control of acquisition
Apparatus components importance, the availability corrective measure of emphasis is implemented with for gained significant components, and family and the market demand can be used
Farthest met.
The present invention provides a kind of decision-making technique for solving model and there is uncertain feature.It is striked to be needed towards availability
The final importance of component asked, which can more realistically reflect user demand and be improved for follow-up availability, to provide safeguard.It is meanwhile logical
Cross consideration inter-module auto-correlation relation and carry out computation module importance, improving the availability of numerical control equipment can preferably meet to change
Into technical requirements.
Market competitiveness is evaluated and is combined with numerical control equipment user demand information by the present invention, and introduces attraction, and amendment can
With property demand parameter importance, then obtain taking into account the usability requirements weight of user, competition among enterprises opponent, enterprise can be made brighter
The market position and improvement direction of true lathe availability.The improvement that the competitiveness weight is converted into component importance at the same time competes
Property, the competitiveness and specific aim of availability corrective measure are enhanced, meets product user and market usability requirements, finally may be used
Make cost used minimum, and the market competition force efficiency of Product Usability reaches highest, and the availability of numerical control equipment product is changed
Into the guidance for providing science reality.
It will be understood by those skilled in the art that each module or each step of the invention described above can be filled with general computer
Put to realize, alternatively, they can be realized with the program code that computing device can perform, it is thus possible to which they are stored
Performed in the storage device by computing device, either they are fabricated to respectively each integrated circuit modules or by they
In multiple modules or step be fabricated to single integrated circuit module to realize.The present invention be not restricted to any specific hardware and
The combination of software.
Although above-mentioned be described the embodiment of the present invention with reference to attached drawing, model not is protected to the present invention
The limitation enclosed, those skilled in the art should understand that, on the basis of technical scheme, those skilled in the art are not
Need to make the creative labor the various modifications that can be made or deformation still within protection scope of the present invention.
Claims (10)
1. a kind of numerical control equipment faulty components importance analysis, it is characterised in that comprise the following steps:
Step 1:Establish numerical control equipment availability functionality expansion model;
Step 2:The initial importance of numerical control equipment component is calculated based on Extension AHP;
Step 3:Inter-module auto-correlation relational matrix is built, numerical control is calculated according to the auto-correlation relational matrix and initial importance
Equip each component and correct importance;
Step 4:The competitive evaluations matrix of construction, corrects importance to component and further corrects.
2. numerical control equipment faulty components importance analysis as claimed in claim 1, it is characterised in that the availability work(
Energy expansion model is room model.
3. numerical control equipment faulty components importance analysis as claimed in claim 2, it is characterised in that the room model is left
Wall is user availability demand parameter and its weight;Right wall is evaluated for market competition;Produced for user demand and numerical control equipment in room
Dependency relation matrix between each component of product;Roof is each inter-module auto-correlation relational matrix;Floor is component importance.
4. numerical control equipment faulty components importance analysis as claimed in claim 1, it is characterised in that the step 2 is wrapped
Include:
Step 2.1:That establishes a certain item usability requirements and dependent failure component related coefficient opens up judgment matrix;
Step 2.2:Correlation matrix is calculated according to the judgment matrix of opening up;
Step 2.3:Each component of numerical control equipment is calculated according to user availability demand weight and the correlation matrix initially to weigh
Spend.
5. numerical control equipment faulty components importance analysis as claimed in claim 4, it is characterised in that the step 2.2
Including:
Step 2.2.1:If A=A-,A+Judgement square is opened up for a certain item usability requirements and dependent failure component related coefficient
Battle array, acquisition and A-,A+The corresponding normalization characteristic vector x for having positive component of maximum eigenvalue-,x+;
Step 2.2.2:According toK, m are obtained, wherein,Respectively the i-th row of judgment matrix jth row can
Open up the upper and lower endpoint of interval element;
Step 2.2.3:According to S=(S1,…S2,…SN)T=kx-,mx+Ask dependency relation coefficient vector, wherein S1,…S2,…SN
For interval number;
Step 2.2.4:Calculate the related coefficient of a certain item usability requirements and dependent failure component:Make riRepresent that a certain item can use
Property the demand and dependency relation coefficient of i-th dependent failure component, according toCalculate phase
Interval number S in relation number vectori≥SjThe possibility of (i, j=1,2 ... N) is V (Si≥Sj), if V (Si≥Sj) >=0, then
D1=0, Di=V (Si≥Sj), the vectorial D=(D that will be obtained1,D2,…,DN)TAfter normalization, vector (r is obtained1,r2,…,rN)T
Represent a certain item usability requirements and the related coefficient vector of dependent failure component, wherein, a=a-,a+, b=b-,b+Can for 2
Open up interval number.
6. numerical control equipment faulty components importance analysis as claimed in claim 4, it is characterised in that the step 2.3
The middle initial importance calculation formula of each component of numerical control equipment is:
<mrow>
<msub>
<mi>u</mi>
<mi>j</mi>
</msub>
<mo>=</mo>
<munderover>
<mo>&Sigma;</mo>
<mrow>
<mi>i</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<mi>m</mi>
</munderover>
<msub>
<mi>r</mi>
<mrow>
<mi>i</mi>
<mi>j</mi>
</mrow>
</msub>
<msub>
<mi>w</mi>
<mi>i</mi>
</msub>
</mrow>
Wherein, rijRepresent j-th of components availability demand and the related coefficient of i-th of component;wiRepresent that i-th of component user can
With property demand weight, m represents associated component number.
7. numerical control equipment faulty components importance analysis as claimed in claim 1, it is characterised in that the step 3 is wrapped
Include:
Step 3.1:According to numerical control equipment fault message, determine the relation that influences each other of inter-module, construct auto-correlation relational matrix;
Step 3.2:Calculate contribution degree of each component to usability requirements, i.e. component importance.
8. numerical control equipment faulty components importance analysis as claimed in claim 1, it is characterised in that the step 4 is wrapped
Include:
Step 4.1:The competitive evaluations matrix of construction, corrects usability requirements index weights;
Step 4.2:Based on modified usability requirements index weights, component importance is corrected.
9. a kind of numerical control equipment faulty components Significance Analysis device, including memory, processor and storage are on a memory simultaneously
The computer program that can be run on a processor, it is characterised in that the processor realizes that right such as will when performing described program
Seek 1-8 any one of them numerical control equipment faulty components importance analysis.
10. a kind of computer-readable recording medium, is stored thereon with computer program, it is characterised in that the program is by processor
Such as claim 1-8 any one of them numerical control equipment faulty components importance analysis is performed during execution.
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