CN110309950A - The optimization method and device of initial storage protocol under modularization storage mode - Google Patents
The optimization method and device of initial storage protocol under modularization storage mode Download PDFInfo
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Abstract
The present invention discloses a kind of optimization method and device of initial storage protocol under modularization storage mode.Wherein the method is according to the reliability and period of storage of unit, to construct several candidate schemes；Meet the candidate scheme of prerequisite by screening again, and according to the initial storage protocol of the storage number optimization component of each unit in candidate scheme.This method can efficiently optimize component to be stored and intact probability is being wanted in seeking time to meet the requirements and prerequisite, such as initial storage protocol of high efficiency-cost ratio.
Description
Technical field
The present invention relates to failure predications and Stock Managment Domain, in particular to first under a kind of modularization storage mode
The optimization method and device of beginning storage protocol.
Background technique
Portioned product is in outside normal working condition, it is also possible to be in stored condition, such as standby redundancy is to ensure
The valuable source that can be used reliably and with long-term is equipped, standby redundancy is to store before use in warehouse.
Due to product it is possible that failure occurs within storage period and causes economic loss objectively；Therefore formulating can expire
Sufficient shelf appeal, and the initial storage protocol of the good product of economy, are important.
Summary of the invention
The embodiment of the present invention at least discloses a kind of optimization method of initial storage protocol under modularization storage mode；This method
Component to be stored can efficiently be optimized and wanting the initial storage side that intact probability meets the requirements in seeking time and efficiency-cost ratio is high
Case.
The described method includes:
Reliability of the K units at the T1 moment is Pr in S110, obtaining widgeti, wherein i is the volume of unit in the component
Number, 1≤i≤K；
S120, the initial storage number for obtaining the K units are dyNi=M+1, M are natural number；
S130, according to dyNiAnd PriFirst up to standard probability of the intact quantity n greater than M for obtaining TI moment back part is P (n
> M)；
The intact probability of S140, assignment is Psz=P (n > M)；
S200, enter S310 when Psz is less than a minimum probability threshold value, otherwise enter S400；
S310, the dyN by being incremented by any unitiAt least one candidate scheme is constructed, and according to the candidate
The current dyN of unit described in schemeiAnd Pri, obtain the second probability up to standard of the candidate scheme；
S320, according to prerequisite select one described in candidate scheme be prioritization scheme, described the of the prioritization scheme
Two probability up to standard are P2；
S330, assignment Psz=P2, and assignment dyNiFor the storage number of i-th unit in the prioritization scheme；
S340, make Psz and dyN after assignmenti, return to S200；
S400, according to the storage number dyN of the current K unitiInitial storage protocol after building optimization.
In some embodiments disclosed by the invention, S130 is configured as:
S131, according to dyNiAnd PriThe intact quantity n of the K units after the acquisition TI momentiProbability greater than M is Pi(ni
> M)；
S132, according to Pi(ni> M) obtain the intact quantity n of TI moment back part greater than M probability be P (n > M).
In some embodiments disclosed by the invention, S131 is configured with
In some embodiments disclosed by the invention, S132 is configured with
In some embodiments disclosed by the invention, S310 is configured as:
S311, assignment j=1；
S312, j-th candidates scheme { dyN is generatedji| 1≤i≤K },
Wherein
S313, j-th candidates scheme { dyN is obtainedji| 1≤i≤K } probability up to standard be P2j,
In formula
S314, assignment j=j+1, S312 is returned in j≤K, otherwise enters S320.
In some embodiments disclosed by the invention, the candidate scheme that S320 is configured with the maximum efficiency-cost ratio of selection is
The prioritization scheme.
In some embodiments disclosed by the invention, S313, which is configured with, obtains j-th candidates scheme { dyNji|1≤i≤
K } efficiency-cost ratio p2mj,dyMjFor the unit price of procurement of jth item unit；
S320 is configured as in { p2mj| 1≤j≤K } in find out maximum efficiency-cost ratio candidate scheme be the prioritization scheme.
In some embodiments disclosed by the invention, the Pr of the unit is obtainediIt is configured as:
According to the life distribution type that the unit is obeyed, the Pr of the unit is obtainedi。
In some embodiments disclosed by the invention, the life distribution type be exponential distribution, Gamma distribution, logarithm just
Any one in state distribution, normal distribution and Weibull distribution.
The embodiment of the present invention at least discloses initial storage protocol optimization device under a kind of modularization storage mode.Described device
Include:
Reliability module, being configured as K units in obtaining widget in the reliability at T1 moment is Pri, wherein i is described
The number of unit in component, 1≤i≤K；
Initial reservoir module, the initial storage number for being configured as obtaining the K units is dyNi=M+1, M are nature
Number；
Computing module is configured as according to dyNiAnd PriFirst of intact quantity n greater than M for obtaining TI moment back part reaches
Mark probability is P (n > M), and the intact probability of assignment is Psz=P (n > M)；
Comparison module is configured as the current Psz of comparison and a minimum probability threshold value, and is less than minimum probability threshold in Psz
Candidate scheme module is executed when value, otherwise executes initial scheme module；
Candidate scheme module is configured as the dyN by being incremented by any unitiAt least one candidate scheme is constructed,
And obtain the second probability up to standard of the candidate scheme, according to prerequisite select one described in candidate scheme be optimization side
Case, the described second probability up to standard of the prioritization scheme are P2i, assignment Psz=P2i, and assignment dyNiFor the prioritization scheme
In i-th unit storage number, make the Psz of the assignment and dyN of assignmentiBack to the comparison module；
Initial scheme module is configured as the storage number dyN according to the current K unitiIt is first after building optimization
Beginning storage protocol.
For above scheme, the present invention is by being referring to the drawings described in detail disclosed exemplary embodiment, also
The other feature and its advantage for making the embodiment of the present invention understand.
Detailed description of the invention
In order to illustrate the technical solution of the embodiments of the present invention more clearly, below will be to needed in the embodiment attached
Figure is briefly described, it should be understood that the following drawings illustrates only certain embodiments of the present invention, therefore is not construed as pair
The restriction of range for those of ordinary skill in the art without creative efforts, can also be according to this
A little attached drawings obtain other relevant attached drawings.
Fig. 1 is the flow chart of the present embodiment optimization method；
Fig. 2 is the present embodiment optimization method and the existing comparison diagram gone through all over method；
Fig. 3 is the framework map that the present embodiment optimizes device.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiment of the present invention, instead of all the embodiments.The present invention being usually described and illustrated herein in the accompanying drawings is implemented
The component of example can be arranged and be designed with a variety of different configurations.
As used herein, based on context, term " if ", " if " etc. is optionally interpreted to mean
" when ... " (" when " or " upon ") or " in response to determination " or " in response to detecting ".Similarly, based on context, short
Language " if it is determined that ... " or " if detecting [condition or event stated] " are optionally interpreted to mean " true
When fixed ... " or " in response to determination ... " or " when detecting [condition or event stated] " or " in response to detecting
[condition or event stated] ".
In addition, step shown in the flowchart of the accompanying drawings can be in the computer dress that the executable finger of such as one group of computer takes
Middle execution is set, although also, logical order is shown in flow charts, and it in some cases, can be to be different from herein
Sequence execute shown or described step.
The component that the present embodiment refers to is generally referred to by the product of certain interlayer structure of at least one building unit；Component
Including every unit between be generally possible to be described with reliability connection relationship.Reliability connection relationship between common elements
For series relationship, parallel relationship and mixed connection relationship etc..If whether being the standard of important Parts to all in component according to unit
Unit is accepted or rejected, then component can be simplified as the product being connected in series by least one important Parts.
In order to briefly illustrate, the present embodiment is standard compliant important Parts and unit in the unit of rear institute's finger
Between reliable sexual intercourse be series relationship product.
Certainly, reliable sexual intercourse is similarly useful in the present embodiment for the product of parallel relationship or mixed connection relationship；This is only again
It does not repeat to illustrate.
Simultaneously as the storage mode of usual products has whole storage mode and modularization storage mode etc. at least two.
Whole storage mode refers to that product is stored in a manner of complete machine.During storage, the every unit for constructing component is complete
At the assembling before use, i.e. component is the smallest storage unit.Modularization storage mode refers to each unit quilt of building component
Dispersion and independent storage.Before enabling component, all units for including component is needed to be assembled, i.e., unit is minimum storage
Unit.
The present embodiment is only object to the component of modularization storage, formulates a kind of initial storage protocol of component of optimization storage
Method, specifically initial storage number of the unit described in optimization component in initial storage.
In order to briefly illustrate the implementation of the above method, the present embodiment makes following agreement to unit:
Component is made of the K units according to preset sequence number, and i is the number of i-th unit in component；
dyNiFor the initial storage number of i-th cell in component, { dyNi| 1≤i≤K } be component initial storage protocol；
dyMiFor the unit price of i-th cell in component；
All units obey corresponding storage life distribution rule in component, and the time of component plan storage is T1, then
In storage T1 moment back part when obeying corresponding storage life distribution rule, intact quantity n is greater than the first probability up to standard of M
For P (n > M), P (n > M) can be used in evaluating initial storage protocol { dyNi| 1≤i≤K } storage effect；
The lower limit of P (n > M) is P1, and P1 is the minimum index request to the probability up to standard of storage protocol, and is only met
The storage protocol of P (n > M) >=P1 is qualified scheme.
In summary content, the present embodiment are put to a kind of optimization of component initial storage protocol under modularization storage mode
Method.
Referring to FIG. 1, the method for the present embodiment has following the step of capable of being executed at terminal device.
Reliability of the K units at the T1 moment is Pr in S110, obtaining widgeti, wherein i be component in unit number, 1
≤i≤K。
The initial storage number of K S120, acquisition units is dyNi=M+1, M are natural number.
S130, according to dyNiAnd PriFirst up to standard probability of the intact quantity n greater than M for obtaining TI moment back part is P (n
> M), specifically it is performed that steps are as follows.
S131, according to dyNiAnd PriThe intact quantity n of each unit after the acquisition TI momentiProbability greater than M is Pi(ni>
M),
S132, according to Pi(ni> M) obtain the intact quantity n of TI moment back part greater than M probability be P (n > M),
The intact probability of S140, assignment is Psz=P (n > M).
S200, enter S310 when Psz is less than P1, otherwise enter S400.
S310, several candidate schemes of building and the second probability up to standard and efficiency-cost ratio that obtain candidate scheme；Specifically held
Steps are as follows for row.
S311, assignment j=1.
S312, j-th candidates scheme { dyN is generatedji| 1≤i≤K },
Wherein
S313, j-th candidates scheme { dyN is obtainedji| 1≤i≤K } the second probability up to standard be P2j,
In formula
And obtain j-th candidates scheme { dyNji| 1≤i≤K } efficiency-cost ratio p2mj,dyMj
For the unit price of procurement of jth item unit；Wherein, p2mjIt reflects benefit brought by the every increase unitary cost of candidate scheme and increases journey
Degree.
S314, assignment j=j+1, S312 is returned in j≤K, otherwise enters S320.
S320, in { p2mj| 1≤j≤K } in find out maximum efficiency-cost ratio candidate scheme be prioritization scheme, prioritization scheme
Second probability up to standard is P2.
S330, assignment Psz=P2, and assignment dyNiFor the storage number of i-th unit in prioritization scheme.
S340, make Psz and dyN after assignmenti, return to S200.
S400, according to the storage number dyN of current K unitiInitial storage protocol { dyN after building optimizationi|1≤i≤
K}。
The above-mentioned terminal device of the exemplary explanation of the present embodiment.Terminal device includes at least processor and memory；Storage
The program of above-mentioned steps is realized in storage in device, and processor is by calling and executes the described program in memory, then is obtained outer
The Pr of unit in the S110 of portion's inputiAnd in S120 unit dyNiAfter execute subsequent step.
Preferably, the present embodiment carrys out determination unit according to the life distribution type that each unit is specifically obeyed in component
Pri.The life distribution type that component is obeyed is generally exponential distribution, Gamma distribution, logarithm normal distribution, normal distribution and prestige cloth
One of your distribution.
Exponential distribution is commonly used to the service life of description electronic component；Such as edge receptacle, electronic component, resistance, electricity
Appearance, integrated circuit etc..The unit that service life T obeys exponential distribution is known as exponential unit, is denoted as T~Exp (μ), wherein the physics of μ
Meaning is average life span；The density function of T isReliability Function is
Gamma distribution is commonly used to failure caused by describing similar " impact ", if unit is amenable to foreign impacts several times, but
Failure is just generated when unit is hit number accumulation to certain number；As there is surge of electric power, some electronics devices in power grid
Part can break down when the surge number of shocks of receiving is more than certain amount.The unit that service life T obeys Gamma distribution is gamma
Type unit is denoted as T~Ga (α, b), and wherein α > 0 is form parameter, and b > 0 is scale parameter, and the density function of T isWherein Γ (α) is gamma function, andReliability Function is
Logarithm normal distribution is commonly used to describe the unit of general reliability；Such as insulator, semiconductor components and devices and generation gold
Belong to the workpiece etc. of fatigue.The unit that service life T obeys logarithm normal distribution is lognormal type unit, is denoted as T~LN (μ, σ2),
Middle μ is logarithmic average, and σ is logarithm standard deviation, and the density function of T isLn () is nature in formula
Logarithmic function, Reliability Function are
Normal distribution is commonly used to the description mechanical parts service life；Such as collector ring, gear-box, retarder.Service life T obeys normal state
The unit of distribution is Normal Type unit, is denoted as T~N (μ, σ2), wherein μ is mean value, σ2Density function for variance, T isReliability Function is
Weibull distribution is mainly used for failure caused by describing aging, is suitable for electromechanical part；As ball bearing, relay,
Battery, hydraulic pump, gear, fatigue of materials part etc..The unit that service life T obeys Weibull distribution is Weibull type unit, is denoted as T
~W (α, b), wherein scale parameter α > 0, form parameter b >=1, the density function of T are in engineering
Reliability Function is
To sum up, the present embodiment is put to following example, the realization for illustration method.
The component of certain modularization storage is made of 5 units in agreement example, and requires appointing in storage period T1
It anticipates the moment, probability P (n > M) of the intact quantity n of component greater than M is not less than threshold value P1.
Known: the storage life distribution rule of T1=6, M=10, P1=0.9, each unit are shown in Table 1, according to the method described above,
Calculate the minimum storage number of each unit met the requirements.
Table 1
St110, according to reliability of 5 units in 5 years in 1 calculating unit of table be Pri；In sequence, each list
The Pr of memberiRespectively 0.7179,0.8033,0.9110,0.9439,0.9987.
St120, the initial storage number for obtaining 5 units are dyNi=11,1≤i≤K.
St131, calculate 5 years after each unit intact quantity niProbability greater than M is Pi(ni> M), in sequence, often
The P of item uniti(ni> M) it is 0.0261,0.0898,0.3588,0.5298,0.9859.
St132, the probability P (n > M) for calculating 5 years back parts,
The intact probability of St140, assignment is Psz=P (n > M), Psz=0.00044.
St200, the numerical values recited for judging Psz and P1=0.9, and enter St310 when Psz is less than P1=0.9, otherwise
Into St400.
St300, according to current K, Pri、dyMjAnd Psz is executing following steps.
St311, assignment j=1.
St312, j-th candidates scheme { dyN is generatedji| 1≤i≤K },
Wherein
St313, j-th candidates scheme { dyN is obtainedji| 1≤i≤K } probability up to standard be P2j,
In formula
And obtain j-th candidates scheme { dyNji| 1≤i≤K } efficiency-cost ratio p2mj,dyMj
For the unit price of procurement of jth item unit；Wherein, p2mjIt reflects benefit brought by the every increase unitary cost of candidate scheme and increases journey
Degree.
St314, assignment j=j+1, St312 is returned in j≤K, otherwise enters St320.
St320, in { p2mj| 1≤j≤K } in find out the candidate scheme { dyN of maximum efficiency-cost ratioi| 1≤i≤K } it is optimization side
Case, the probability up to standard of the second of prioritization scheme are P2.
Specifically, candidate scheme and its probability up to standard, efficiency-cost ratio are such as when current candidate scheme is { 11,11,11,11,11 }
Table 2.As known from Table 2, candidate scheme 1 is prioritization scheme.
Table 2
| Title | The storage number of each unit | Probability P 2 up to standardj | Efficiency-cost ratio p2mj |
| Candidate scheme 1 | {12、11、11、11、11} | 0.0018 | 0.0000162 |
| Candidate scheme 2 | {11、12、11、11、11} | 0.0014 | 0.00000902 |
| Candidate scheme 3 | {11、11、12、11、11} | 0.00087 | 0.000002 |
| Candidate scheme 4 | {11、11、11、12、11} | 0.00071 | 0.00000113 |
| Candidate scheme 5 | {11、11、11、11、12} | 0.00045 | 0.0000000492 |
St330, assignment Psz=P2, and the dyN that assignment is currentiFor the storage number of i-th unit in prioritization scheme,
When being assignment i=1, dyNi=12；In i=2 or 3 or 4 or 5, dyNi=11.
St340, make Psz and dyN after assignmenti, return to St200.
When the Psz of St400, this example in St200 is greater than or equal to P1=0.9, terminates and calculate and choose as in table 3
The candidate scheme { 21,18,14,14,11 } of serial number 24 is the initial storage protocol after optimization.
Table 3
Referring to FIG. 3, the present embodiment is by the way that with worthwhile reason, illustrating this prioritization scheme only needs 24 × 5=120 that can obtain
State initial storage protocol qualified under parameter and that the expense of imitating is high；Compared to the prior art by traversal scheme, obtain all at least
11 × 8 × 4 × 4 × 1=1408 kind candidate scheme, then screened, it is more efficient.
The present embodiment discloses initial storage protocol optimization dress under a kind of modularization storage mode implemented based on above scheme
It sets；Device includes reliability module, initial reservoir module, computing module, comparison module, candidate scheme module and initial scheme mould
Block.
Reliability of the reliability module for K units in obtaining widget at the T1 moment is Pri, wherein i is single in component
The number of member, 1≤i≤K；
The initial storage number that initial reservoir module is used to obtain K units is dyNi=M+1, M are natural number；
Computing module is used for according to dyNiAnd PriThe intact quantity n of TI moment back part is obtained greater than M first is up to standard general
Rate is P (n > M), and the intact probability of assignment is Psz=P (n > M)；
Comparison module is held for comparing current Psz and a minimum probability threshold value, and when Psz is less than minimum probability threshold value
Otherwise row candidate scheme module executes initial scheme module；
Candidate scheme module is used for as by the dyN for being incremented by any unitiAt least one candidate scheme is constructed, and is obtained
The probability up to standard of the second of candidate scheme selects one candidate scheme for prioritization scheme according to prerequisite, and the second of prioritization scheme
Probability up to standard is P2i, assignment Psz=P2i, and assignment dyNiFor the storage number of i-th unit in prioritization scheme, make assignment
Psz and assignment dyNiBack to comparison module；
Initial scheme module is used for as according to the storage number dyN of current K unitiInitial storage side after building optimization
Case.
The foregoing is only a preferred embodiment of the present invention, is not intended to restrict the invention, for the skill of this field
For art personnel, the invention may be variously modified and varied.All within the spirits and principles of the present invention, made any to repair
Change, equivalent replacement, improvement etc., should all be included in the protection scope of the present invention.
Claims (10)
1. the optimization method of initial storage protocol under a kind of modularization storage mode, which is characterized in that
The described method includes:
Reliability of the K units at the T1 moment is Pr in S110, obtaining widgeti, wherein i be the component in unit number, 1
≤i≤K；
S120, the initial storage number for obtaining the K units are dyNi=M+1, M are natural number；
S130, according to dyNiAnd PriFirst up to standard probability of the intact quantity n greater than M for obtaining TI moment back part is P (n > M)；
The intact probability of S140, assignment is Psz=P (n > M)；
S200, enter S310 when Psz is less than a minimum probability threshold value, otherwise enter S400；
S310, the dyN by being incremented by any unitiAt least one candidate scheme is constructed, and according in the candidate scheme
The current dyN of the unitiAnd Pri, obtain the second probability up to standard of the candidate scheme；
S320, according to prerequisite select one described in candidate scheme be prioritization scheme, described the second of the prioritization scheme reaches
Mark probability is P2；
S330, assignment Psz=P2, and assignment dyNiFor the storage number of i-th unit in the prioritization scheme；
S340, make Psz and dyN after assignmenti, return to S200；
S400, according to the storage number dyN of the current K unitiInitial storage protocol after building optimization.
2. the optimization method of initial storage protocol under modularization storage mode as described in claim 1, which is characterized in that
S130 is configured as:
S131, according to dyNiAnd PriThe intact quantity n of the K units after the acquisition TI momentiProbability greater than M is Pi(ni>
M)；
S132, according to Pi(ni> M) obtain the intact quantity n of TI moment back part greater than M probability be P (n > M).
3. the optimization method of initial storage protocol under modularization storage mode as claimed in claim 2, which is characterized in that
S131 is configured with
4. the optimization method of initial storage protocol under modularization storage mode as claimed in claim 2, which is characterized in that
S132 is configured with
5. the optimization method of initial storage protocol under modularization storage mode as described in claim 1, which is characterized in that
S310 is configured as:
S311, assignment j=1；
S312, j-th candidates scheme { dyN is generatedji| 1≤i≤K },
Wherein
S313, j-th candidates scheme { dyN is obtainedji| 1≤i≤K } probability up to standard be P2j,
In formula
S314, assignment j=j+1, S312 is returned in j≤K, otherwise enters S320.
6. the optimization method of initial storage protocol under modularization storage mode as claimed in claim 5, which is characterized in that
It is the prioritization scheme that S320, which is configured with and chooses the candidate scheme of maximum efficiency-cost ratio,.
7. the optimization method of initial storage protocol under modularization storage mode as claimed in claim 6, which is characterized in that
S313, which is configured with, obtains j-th candidates scheme { dyNji| 1≤i≤K } efficiency-cost ratio p2mj,
dyMjFor the unit price of procurement of jth item unit；
S320 is configured as in { p2mj| 1≤j≤K } in find out maximum efficiency-cost ratio candidate scheme be the prioritization scheme.
8. the optimization method of initial storage protocol under modularization storage mode as described in claim 1, which is characterized in that
Obtain the Pr of the unitiIt is configured as:
According to the life distribution type that the unit is obeyed, the Pr of the unit is obtainedi。
9. the optimization method of initial storage protocol under modularization storage mode as claimed in claim 8, which is characterized in that
The life distribution type is in exponential distribution, Gamma distribution, logarithm normal distribution, normal distribution and Weibull distribution
Any one.
10. initial storage protocol optimizes device under a kind of modularization storage mode, which is characterized in that
Described device includes:
Reliability module, being configured as K units in obtaining widget in the reliability at T1 moment is Pri, wherein i is the component
The number of middle unit, 1≤i≤K；
Initial reservoir module, the initial storage number for being configured as obtaining the K units is dyNi=M+1, M are natural number；
Computing module is configured as according to dyNiAnd PriThe intact quantity n of TI moment back part is obtained greater than M first is up to standard general
Rate is P (n > M), and the intact probability of assignment is Psz=P (n > M)；
Comparison module is configured as the current Psz of comparison and a minimum probability threshold value, and when Psz is less than minimum probability threshold value
Candidate scheme module is executed, initial scheme module is otherwise executed；
Candidate scheme module is configured as the dyN by being incremented by any unitiAt least one candidate scheme is constructed, and is obtained
The second probability up to standard for taking the candidate scheme, according to prerequisite select one described in candidate scheme be prioritization scheme, it is described
Described second probability up to standard of prioritization scheme is P2i, assignment Psz=P2i, and assignment dyNiIt is i-th in the prioritization scheme
The storage number of the unit makes the Psz of the assignment and dyN of assignmentiBack to the comparison module；
Initial scheme module is configured as the storage number dyN according to the current K unitiInitial storage after building optimization
Scheme.
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| CN107885926A (en) * | 2017-11-06 | 2018-04-06 | 中国人民解放军海军工程大学 | A kind of spares optimization method of Ship Equipment under no maintenance state |
| WO2018098926A1 (en) * | 2016-11-29 | 2018-06-07 | 深圳大学 | Multi-target tracking method and system applicable to flicker noise |
| CN108460221A (en) * | 2018-03-19 | 2018-08-28 | 北京航空航天大学 | A kind of quantile self_consistent model method of fuel regulator system storage life assessment |
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Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| WO2018098926A1 (en) * | 2016-11-29 | 2018-06-07 | 深圳大学 | Multi-target tracking method and system applicable to flicker noise |
| CN107885926A (en) * | 2017-11-06 | 2018-04-06 | 中国人民解放军海军工程大学 | A kind of spares optimization method of Ship Equipment under no maintenance state |
| CN108460221A (en) * | 2018-03-19 | 2018-08-28 | 北京航空航天大学 | A kind of quantile self_consistent model method of fuel regulator system storage life assessment |
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