CN104850744A - Analysis method of falling fault modes of mine car - Google Patents
Analysis method of falling fault modes of mine car Download PDFInfo
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- CN104850744A CN104850744A CN201510249474.4A CN201510249474A CN104850744A CN 104850744 A CN104850744 A CN 104850744A CN 201510249474 A CN201510249474 A CN 201510249474A CN 104850744 A CN104850744 A CN 104850744A
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Abstract
The invention discloses an analysis method of falling fault modes of a mine car, which is characterized in that in order to understand the fault modes causing the falling of the mine car in a coalmine production process, and analyze the possibility that those fault modes cause the falling of the mine car, an improved generalized grey relationship fault tree method is provided, and comprises following steps: firstly establishing a fault tree of falling accidents of the mine car and obtaining minimal cutsets; using the minimal cutsets to represent the fault modes to establish a feature matrix of typical faults; determining a mode vector to be tested with importance of each bottom event; calculating correlation with an improved generalized grey correlation method. The analysis method can be used for analyzing the falling fault modes of the mine car, correlation values of the fault modes and accidents and sorting.
Description
Technical field
The present invention relates to Mineral Engineering, particularly relate to and analyze mine car fall failure pattern, the correlation values of fault mode and accident and sequence.
Background technology
Mine hoisting is requisite link in coal production process, is the important system on UNICOM down-hole and ground, is often called as " throat " and " artery ".Mine hoisting system security incident mainly comprises: disconnected rope, Guo Juan Dun tank, card tank, slip tank sport car, abseiling, off-axis, maintenance operation and electric fault etc.By showing that to the mine hoisting system fault analysis in Mining Group subordinate colliery, Fuxin rope-broken accident is maximum, account for 35.6% of sum; Secondly Guo Juan Dun tank, accounts for 23.7% of sum; The tank derailing accident that slips accounts for 9%.The case that in the direct result that these accidents cause, mine car falls is maximum.Therefore, the possibility that the failure factor composition fallen by mine car and each factor cause mine car to fall is as research object.
Fall for mine hoisting system and mine car, current research mainly contains: the mine hoisting system safety hazard analysis of Li Yujin etc. and control; The mine hoisting system vibration-testing of Liao Wei etc. and fault diagnosis; The slip the Study on Fault of the mine hoisting system of Wang Xingyou; The Fuzzy fault tree analysis of the pit shaft mine car falling accident of Wang Xianjun.These researchs of methods combining establish the fault tree that mine car falls, and have carried out the division of its minimal cut set.These cut sets will based on, further use the possibility improved each fault mode that Generalized Grey association analysis method determines to cause mine car to fall and occur.
For the combination of grey correlation analysis and fault tree, its thinking is with Minimizing Cut Sets of Fault Trees structure standard failure pattern vector, pattern vector to be checked is formed with bottom event criticality importance, use grey correlation analysis technology to sort by degree of association size to the various fault modes that minimal cut set forms, thus find out the Main Factors causing the system failure to occur.Be characterized in improving the weak dependence between system failure feature and internal feature in fault tree analysis, the possibility size that in system, each bottom event fault occurs can be reflected intuitively.
Current research mainly contains: the application of gray relative analysis method in electronic failure tree of Zhao Hongyan etc.; The all-hydraulic self-walking Flat car hydraulic fault Tree research based on gray theory of Guo Rui etc.; The Tunnel Lining Cracks based on grey correlation of Liu Dejun etc. causes calamity multichannel analysis; Wind turbine gearbox driving unit fault based on the grey relational grade tree of Chen Tao etc. is analyzed; The grey forecasting model of the motor in electric automobile reliability of Zhu Xianhui etc.; The application of Fuzzy Grey Correlation Analysis method in fault tree analysis of Zhou Zhen etc.; The city CNG gas station safety evaluation based on fault tree and Grey-fuzzy Theory of Chen Yang etc.Generalized Grey correlation fractal dimension can reflect longitudinal difference and the rate of change of chief series and sub-sequence by contrast, grey absolute relation grade and relative grey correlative degree is combined, and then embodies relevance that is main, sub-sequence.Hereinafter referring to that importance of bottom incident draws pattern vector to be checked in conjunction with chief series during fault tree analysis; Sub-sequence refers to the eigenmatrix of minimal cut set.
Summary of the invention
The present invention proposes the method combined with fault tree by Generalized Grey correlation fractal dimension.The method can guarantee the beneficial aspects of Generalized Grey association analysis, time simultaneously for use grey correlation and fault tree analysis, ubiquitous ask initial value as time first term be the amendment that the problem that cannot process in 0 situation has carried out on algorithm.And use the method determine each fault mode possibility occurrence that mine car falls and sort.
The technical solution adopted in the present invention is as follows:
A kind of mine car fall failure pattern analysis method, it is characterized in that, in order to understand in coal production process, cause the fault mode that mine car falls, and analyze the possibility that these fault modes cause mine car to fall, propose and a kind ofly improve Generalized Grey relevant fault tree method; It comprises the steps: the fault tree of first setting up mine car falling accident, and obtains minimal cut set; With the eigenmatrix of minimal cut set representing fault mode construction typical fault; Pattern vector to be checked is determined with the importance degree of each bottom event; Use and improve Generalized Grey correlation method compute associations degree; The present invention can be used for analyzing mine car fall failure pattern, the correlation values of fault mode and accident and sequence.
The improvement improved in Generalized Grey correlation method is comprised and grey absolute relation grade and relative grey correlative degree being combined by partition factor, and ask initial value as time first term be 0 time disposal route.
Improving Generalized Grey correlation method is that grey absolute relation grade calculates, under the concept of fault tree, can be regarded as the difference between pattern vector to be checked that the eigenmatrix of minimal cut set and importance of bottom incident characterize, finally can reflect that fault mode that each minimal cut set characterizes is to the influence degree of the system failure.
Relative grey correlative degree can compare the longitudinal direction change difference of sub-sequence and total sequence, can embody which factor consistent with system change trend.If under the concept of fault tree, to can be regarded as in minimal cut set eigenmatrix the matching degree that each factor value of pattern vector to be checked that in every row, each value change and importance of bottom incident characterize changes, finally can reflect that the fault mode of each minimal cut set changes the influence degree changed the system failure.
Change the definition of initial value picture into X
i'=(x
i' (1), x
i' (2) ..., x
i' (n))=(x
i(1)/x
i(q), x
i(2)/x
i(q) ..., x
i(n)/x
i(q)), wherein x
i(q)=max{X
i, such denominator x
iq () is be never 0 under fault tree definition, then carry out initial point pulverised picture, relative grey correlative degree r
0tcomputing formula formula (2) as shown in Figure 1, for improvement Generalized Grey correlation method, the determination of partition factor, propose the computing method of a kind of introducing based on deviation maximization method partition factor, its principle is: if the property value of i-th sample is for the equal indifference of all sample attribute values, then the importance ranking of this sample is by inoperative, and such index can make its weight be 0; Otherwise, if the property value of this sample to indices has larger difference, then should give its larger weight, its formula as the formula (4), θ i=B ε i/ (B ε i+ Bri) (4).
Determine eigenmatrix and pattern vector to be checked, if eigenmatrix is X, wherein the vectorial Xi of the i-th row represents the elementary event combination in a cut set, i.e. X
1=(x
1(1), x
1(2) ..., x
1(n)) ..., X
i=(x
i(1), x
i(2) ..., x
i(n)) ..., X
m=(x
m(1), x
m(2) ..., x
m(n)), wherein n is elementary event number.M is minimal cut set quantity, so eigenmatrix X can be expressed as formula shown in Fig. 2 (5), as follows for the concrete values dictate in eigenmatrix: for the vectorial Xi of the i-th row, if the elementary event that wherein element is corresponding is not the event that this row represents in minimal cut set, so the value of this position is 0; Otherwise its value really normal root is different according to the difference that grey absolute relation grade calculates and relative grey correlative degree calculates requires; Calculate for grey absolute relation grade, in its eigenmatrix X, element value is the probability of happening of elementary event, and pattern vector to be checked is the importance degree of each bottom event; Calculate for relative grey correlative degree, its eigenmatrix and pattern vector to be checked are through the probability of happening of elementary event after initial value picture and the process of initial point pulverised picture and the importance degree of each bottom event respectively.
According to importance of bottom incident definition (because this bottom event makes a difference the coefficient of top event probability), each elementary event is asked to cause the possibility of the various fault mode of system and m minimal cut set generation, the importance degree I of elementary event
jshown in (6), I
j=∑ F
i/ F
t, (j ∈ Xi) (6).
Accompanying drawing explanation
Fig. 1 formula (2).
Fig. 2 formula (5).
Embodiment
The present invention proposes the method combined with fault tree by Generalized Grey correlation fractal dimension.The method can guarantee the beneficial aspects of Generalized Grey association analysis, time simultaneously for use grey correlation and fault tree analysis, ubiquitous ask initial value as time first term be the amendment that the problem that cannot process in 0 situation has carried out on algorithm.And use the method determine each fault mode possibility occurrence that mine car falls and sort.
The technical solution adopted in the present invention is as follows:
A kind of mine car fall failure pattern analysis method, it is characterized in that, in order to understand in coal production process, cause the fault mode that mine car falls, and analyze the possibility that these fault modes cause mine car to fall, propose and a kind ofly improve Generalized Grey relevant fault tree method; It comprises the steps: the fault tree of first setting up mine car falling accident, and obtains minimal cut set; With the eigenmatrix of minimal cut set representing fault mode construction typical fault; Pattern vector to be checked is determined with the importance degree of each bottom event; Use and improve Generalized Grey correlation method compute associations degree; The present invention can be used for analyzing mine car fall failure pattern, the correlation values of fault mode and accident and sequence.
The improvement improved in Generalized Grey correlation method is comprised and grey absolute relation grade and relative grey correlative degree being combined by partition factor, and ask initial value as time first term be 0 time disposal route.
Improving Generalized Grey correlation method is that grey absolute relation grade calculates, under the concept of fault tree, can be regarded as the difference between pattern vector to be checked that the eigenmatrix of minimal cut set and importance of bottom incident characterize, finally can reflect that fault mode that each minimal cut set characterizes is to the influence degree of the system failure.
Relative grey correlative degree can compare the longitudinal direction change difference of sub-sequence and total sequence, can embody which factor consistent with system change trend.If under the concept of fault tree, to can be regarded as in minimal cut set eigenmatrix the matching degree that each factor value of pattern vector to be checked that in every row, each value change and importance of bottom incident characterize changes, finally can reflect that the fault mode of each minimal cut set changes the influence degree changed the system failure.
Change the definition of initial value picture into X
i'=(x
i' (1), x
i' (2) ..., x
i' (n))=(x
i(1)/x
i(q), x
i(2)/x
i(q) ..., x
i(n)/x
i(q)), wherein x
i(q)=max{X
i, such denominator x
iq () is be never 0 under fault tree definition, then carry out initial point pulverised picture, relative grey correlative degree r
0tcomputing formula formula (2) as shown in Figure 1, for improvement Generalized Grey correlation method, the determination of partition factor, propose the computing method of a kind of introducing based on deviation maximization method partition factor, its principle is: if the property value of i-th sample is for the equal indifference of all sample attribute values, then the importance ranking of this sample is by inoperative, and such index can make its weight be 0; Otherwise, if the property value of this sample to indices has larger difference, then should give its larger weight, its formula as the formula (4), θ i=B ε i/ (B ε i+ Bri) (4).
Determine eigenmatrix and pattern vector to be checked, if eigenmatrix is X, wherein the vectorial Xi of the i-th row represents the elementary event combination in a cut set, i.e. X
1=(x
1(1), x
1(2) ..., x
1(n)) ..., X
i=(x
i(1), x
i(2) ..., x
i(n)) ..., X
m=(x
m(1), x
m(2) ..., x
m(n)), wherein n is elementary event number.M is minimal cut set quantity, so can be expressed as formula shown in Fig. 2 (5) as follows for the concrete values dictate in eigenmatrix for eigenmatrix X: for the vectorial Xi of the i-th row, if the elementary event that wherein element is corresponding is not the event that this row represents in minimal cut set, so the value of this position is 0; Otherwise its value really normal root is different according to the difference that grey absolute relation grade calculates and relative grey correlative degree calculates requires; Calculate for grey absolute relation grade, in its eigenmatrix X, element value is the probability of happening of elementary event, and pattern vector to be checked is the importance degree of each bottom event; Calculate for relative grey correlative degree, its eigenmatrix and pattern vector to be checked are through the probability of happening of elementary event after initial value picture and the process of initial point pulverised picture and the importance degree of each bottom event respectively.
According to importance of bottom incident definition (because this bottom event makes a difference the coefficient of top event probability), each elementary event is asked to cause the possibility of the various fault mode of system and m minimal cut set generation, the importance degree I of elementary event
jshown in (6), I
j=∑ F
i/ F
t, (j ∈ Xi) (6).
Claims (4)
1. a mine car fall failure pattern analysis method, it is characterized in that, in order to understand in coal production process, cause the fault mode that mine car falls, and analyze the possibility that these fault modes cause mine car to fall, propose and a kind ofly improve Generalized Grey relevant fault tree method; It comprises the steps: the fault tree of first setting up mine car falling accident, and obtains minimal cut set; With the eigenmatrix of minimal cut set representing fault mode construction typical fault; Pattern vector to be checked is determined with the importance degree of each bottom event; Use and improve Generalized Grey correlation method compute associations degree; The present invention can be used for analyzing mine car fall failure pattern, the correlation values of fault mode and accident and sequence.
2. a kind of mine car fall failure pattern analysis method according to claim 1, it is characterized in that, the improvement improved in Generalized Grey correlation method is comprised and grey absolute relation grade and relative grey correlative degree being combined by partition factor, and ask initial value as time first term be 0 time disposal route.
3. a kind of mine car fall failure pattern analysis method according to claim 1, it is characterized in that, improving Generalized Grey correlation method is that grey absolute relation grade calculates, under the concept of fault tree, can be regarded as the difference between pattern vector to be checked that the eigenmatrix of minimal cut set and importance of bottom incident characterize, finally can reflect that fault mode that each minimal cut set characterizes is to the influence degree of the system failure.
4. a kind of mine car fall failure pattern analysis method according to claim 1, is characterized in that, relative grey correlative degree can compare the longitudinal direction change difference of sub-sequence and total sequence, can embody which factor consistent with system change trend; If under the concept of fault tree, to can be regarded as in minimal cut set eigenmatrix the matching degree that each factor value of pattern vector to be checked that in every row, each value change and importance of bottom incident characterize changes, finally can reflect that the fault mode of each minimal cut set changes the influence degree changed the system failure.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105550486A (en) * | 2016-03-07 | 2016-05-04 | 天津工业大学 | Petrochemical enterprise deluge system reliability evaluating method |
| CN108446841A (en) * | 2018-03-13 | 2018-08-24 | 北京邮电大学 | A kind of systems approach determining accident factor hierarchical structure using grey correlation |
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| CN104615874A (en) * | 2015-01-26 | 2015-05-13 | 辽宁工程技术大学 | Mine car falling fault mode analysis method |
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2015
- 2015-05-15 CN CN201510249474.4A patent/CN104850744A/en active Pending
Patent Citations (2)
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| CN103294877A (en) * | 2013-07-08 | 2013-09-11 | 重庆松藻煤电有限责任公司 | Accident tree graph digital analysis method and accident tree graph digital analysis tool both applied to coal mine safety evaluation |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105550486A (en) * | 2016-03-07 | 2016-05-04 | 天津工业大学 | Petrochemical enterprise deluge system reliability evaluating method |
| CN108446841A (en) * | 2018-03-13 | 2018-08-24 | 北京邮电大学 | A kind of systems approach determining accident factor hierarchical structure using grey correlation |
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Application publication date: 20150819 |
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