CN103617337B - A kind of aircraft maintenance interval aided analysis method - Google Patents
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- CN103617337B CN103617337B CN201310706577.XA CN201310706577A CN103617337B CN 103617337 B CN103617337 B CN 103617337B CN 201310706577 A CN201310706577 A CN 201310706577A CN 103617337 B CN103617337 B CN 103617337B
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Abstract
The invention discloses a kind of aircraft maintenance interval aided analysis method, it is characterised in that comprise the steps: step one: gather the fault data of aircraft practical flight；Step 2: the data obtained by mathematics model analysis step one；Step 3: collect each maintenance program with reference to type and type parameter；Step 4: input the machine shape parameter；Step 5: comparing calculation reference data and this machine type data, described reference data is each type parameter with reference to type；Step 6: draw the maintenance intervals of reference.The present invention makes " aircraft reliability data analysis technique " and " Case-based reasoning technology " that both advantages are combined, and more rationally, more objective, more efficient provides effective service for maintenance program authorized personnel.
Description
Technical field
The present invention relates to a kind of aircraft maintenance interval aided analysis method, be specifically related to a kind of based on reliability with the aircraft of CBR
Maintenance intervals aided analysis method, the invention belongs to technical field of aerospace.
Background technology
During establishment maintenance program, the discreet value that maintenance intervals draws typically by experiment and experience, have sizable
Subjectivity.Existing aircraft reliability data analysis technique and Case-based reasoning technology (i.e. CBR), aircraft reliability number
It is to acquire aircraft practical flight data according to analytical technology, and by some analysis skills, analyzes and draw in aircraft practical flight
Reliability data.Case-based reasoning technology is the maintenance program information by collecting other type aircrafts, similar by showing
As maintenance task, to maintenance program, authorized personnel provides help.Both of which only focuses in some aspect, not to both
Unified combination, has considerable degree of one-sidedness.
Summary of the invention
For solving the deficiencies in the prior art, it is an object of the invention to provide a kind of aircraft maintenance interval aided analysis method.
In order to realize above-mentioned target, the present invention adopts the following technical scheme that:
A kind of aircraft maintenance interval aided analysis method, it is characterised in that comprise the steps:
Step one: gather the fault data of aircraft practical flight；
Step 2: the data obtained by mathematics model analysis step one；
Step 3: collect each maintenance program with reference to type and type parameter；
Step 4: input the machine shape parameter；
Step 5: comparing calculation reference data and this machine type data, described reference data is each type parameter with reference to type；
Step 6: draw the maintenance intervals of reference.
Aforesaid a kind of aircraft maintenance interval aided analysis method, it is characterised in that described mathematical model includes: normal distribution mould
Type, exponential distribution model, Weibull distribution model, logarithm normal distribution model.
Aforesaid a kind of aircraft maintenance interval aided analysis method, it is characterised in that the mathematical formulae of described normal distribution model:In formula: x is fault data array；μ is the average of fault data array；σ is event
The variance yields of barrier array of data.
Aforesaid a kind of aircraft maintenance interval aided analysis method, it is characterised in that the mathematical formulae of described exponential distribution model:X >=0, λ ＞ 0, in formula: x is fault data array；λ is that mean μ divides, it may be assumed that
λ=1/μ；μ is the average of fault data array.
Aforesaid a kind of aircraft maintenance interval aided analysis method, it is characterised in that the mathematics of described logarithm normal distribution model is public
Formula:In formula: x is fault data array；μ is the average of fault data array；σ is
The variance yields of fault data array.
Aforesaid a kind of aircraft maintenance interval aided analysis method, it is characterised in that the described type parameter with reference to type and the machine
Shape parameter all includes CBR analytical parameters and fail-safe analysis parameter.
Aforesaid a kind of aircraft maintenance interval aided analysis method, it is characterised in that described CBR analytical parameters includes: type
Similarity parameter, similarity of tasks parameter and parameters weighting definition.
Aforesaid a kind of aircraft maintenance interval aided analysis method, it is characterised in that described step 5 includes:
Step 5a: by with reference to the type similarity parameter of type, the type similarity parameter of this type and weight, calculating
Type similarity data between two types；
Step 5b: by with reference to the similarity of tasks parameter of type, the similarity of tasks parameter of this type and weight, with type phase
Combine like degrees of data and calculate, draw the similarity of tasks data between two tasks；
Step 5c: analyze type similarity data and similarity of tasks data, it is judged that whether the reference task of reference type has reference
It is worth；Without value, then terminate reference；Otherwise, then step 5d is carried out；
Step 5d: the reliability distribution models of the present analysis parts drawn in acquisition step two；
Step 5e: maintenance policy, maintenance angle and the analytical parameters selected by maintenance program authorized personnel；
Step 5f: according to distributed model, maintenance policy, maintenance angle, determine calculative mathematical formulae.
Aforesaid a kind of aircraft maintenance interval aided analysis method, it is characterised in that described step 6 includes: pass through mathematical formulae
And analytical parameters, calculate the maintenance intervals of reference.
The invention have benefit that: the present invention makes " aircraft reliability data analysis technique " and " Case-based reasoning skill
Art " both advantages are combined, more rationally, more objective, more efficient provide effective clothes for maintenance program authorized personnel
Business.
Accompanying drawing explanation
Fig. 1 is the flow chart being preferable to carry out of the present invention.
Detailed description of the invention
Below in conjunction with the drawings and specific embodiments, the present invention made concrete introduction.
With reference to shown in Fig. 1, the operation principle of invention is divided into 6 steps:
1. gather the fault data of aircraft practical flight
Gather the fault data in practical flight, be a most important part in fail-safe analysis.Only grasp each maintenance
The truthful data of part, could provide real foundation for analysis work below.
2. by mathematics model analysis data
The invention provides multiple mathematical model, including normal distribution model, exponential distribution model, Weibull distribution model,
Logarithm normal distribution model etc..During analysis, calculate various distributed model the most successively, determine the regularity of distribution of fault data
Whether meet model.When not meeting, calculate whether next model meets.
The mathematical formulae of normal distribution model:In formula: x is fault data array；μ is
The average of fault data array；σ is the variance yields of fault data array.
The mathematical formulae of exponential distribution model:X >=0, in λ ＞ 0 formula: x is fault data
Array；λ is that mean μ divides, it may be assumed that λ=1/ μ；μ is the average of fault data array.
The mathematical formulae of Weibull distribution model:In formula: x is fault data array；η is phat (1)
Value；M is the value of phat (2).
The mathematical formulae of logarithm normal distribution model:In formula: x is fault data array；μ
It it is the average of fault data array；σ is the variance yields of fault data array.
3. collect maintenance program and the design parameter of each type
The maintenance program of various type aircrafts, contains the most probable maintenance intervals that planemaker provides.Each type is peculiar
Analytical parameters, how determine that with reference to the key factor of comparison.
4. input the machine shape parameter
For needing to work out the new architecture of maintenance program, each there is specific analytical parameters.Only grasp new architecture
Design parameter, then follow-up analysis work is the most meaningful, possesses reference value.
Type parameter and the machine shape parameter of reference type all include CBR analytical parameters and fail-safe analysis parameter.CBR analyzes
Parameter:
(1) type similarity parameter: Gross Weight Takeoff, thrust-weight ratio, Mach Number Never To Be Exceeded, cruising speed, visiting number, maximum boat
Journey, maximum load, electromotor number, engine arrangement (tail hangs, the wing hangs), day utilization rate, manufacturer/manufacturer etc..
(2) similarity of tasks parameter: Gross Weight Takeoff, visiting number, day utilization rate, manufacturer/manufacturer etc., supplier,
Design principle, inside and outside, fault affects classification etc..
(3) parameters weighting definition: define respective weight for all of analytical parameters.
Fail-safe analysis parameter is divided into three kinds of maintenance policies and multiple module, as shown in following table one to three:
Table one: hard time maintenance strategy
Table two: condition maintenarnce strategy
Table three: blind detection strategy
5. comparing calculation reference data and this machine type data
(1) by three step process definition the type similarity parameter of reference type, the type similarity parameter of this type and
Weight, can calculate the type similarity data between two types.
(2) by reference type similarity of tasks parameter, this type similarity of tasks parameter and the weight of definition, with type phase
Combine like degrees of data and calculate, it can be deduced that the similarity of tasks data between two tasks.
(3) type similarity data and similarity of tasks data are analyzed, it is judged that whether the reference task of reference type has reference price
Value.Without value, then terminate reference；Otherwise, then follow-up Analysis of Reliability Data process is carried out.
(4) reliability distribution models of the present analysis parts drawn during second step is obtained.
(5) maintenance policy, maintenance angle and the input analytical parameters selected by maintenance program authorized personnel.
(6) according to distributed model, maintenance policy, maintenance angle, calculative mathematical formulae is determined.
6. draw the maintenance intervals of reference
By mathematical formulae and analytical parameters, calculate the maintenance intervals of reference.
The present invention, by above-mentioned 6 steps, combines " aircraft reliability data analysis technique " and " Case-based reasoning skill
Art " feature, make " aircraft reliability data analysis technique " and " Case-based reasoning technology " that both advantage is combined
Get up, more rationally, more objective, more efficient provide effective service for maintenance program authorized personnel.
The ultimate principle of the present invention, principal character and advantage have more than been shown and described.Skilled person will appreciate that of the industry,
Above-described embodiment limits the present invention the most in any form, the technical scheme that the mode of all employing equivalents or equivalent transformation is obtained,
All fall within protection scope of the present invention.
Claims (8)
1. an aircraft maintenance interval aided analysis method, it is characterised in that comprise the steps:
Step one: gather the fault data of aircraft practical flight；
Step 2: the data obtained by mathematics model analysis step one；
Step 3: collect each maintenance program with reference to type and type parameter；
Step 4: input the machine shape parameter；
Step 5: comparing calculation reference data and this machine type data, described reference data is each type ginseng with reference to type
Number；
Step 6: draw the maintenance intervals of reference；
Described step 5 includes:
Step 5a: by the reference type similarity parameter of type, the type similarity parameter of this type and weight,
Calculate the type similarity data between two types；
Step 5b: by the reference similarity of tasks parameter of type, the similarity of tasks parameter of this type and weight,
Be combined calculating with type similarity data, draw the similarity of tasks data between two tasks；
Step 5c: analyze type similarity data and similarity of tasks data, it is judged that the reference task of reference type is
No have reference value；Without value, then terminate reference；Otherwise, then step 5d is carried out；
Step 5d: the reliability distribution models of the present analysis parts drawn in acquisition step two；
Step 5e: maintenance policy, maintenance angle and the analytical parameters selected by maintenance program authorized personnel；
Step 5f: according to distributed model, maintenance policy, maintenance angle, determine calculative mathematical formulae.
A kind of aircraft maintenance interval the most according to claim 1 aided analysis method, it is characterised in that described
Mathematical model includes: normal distribution model, exponential distribution model, Weibull distribution model, logarithm normal distribution
Model.
A kind of aircraft maintenance interval the most according to claim 2 aided analysis method, it is characterised in that described
The mathematical formulae of normal distribution model:In formula: x is fault data number
Group；μ is the average of fault data array；σ is the variance yields of fault data array.
A kind of aircraft maintenance interval the most according to claim 2 aided analysis method, it is characterised in that described
The mathematical formulae of exponential distribution model:In formula: x is
Fault data array；λ is that mean μ divides, it may be assumed that λ=1/ μ；μ is the average of fault data array.
A kind of aircraft maintenance interval the most according to claim 2 aided analysis method, it is characterised in that described
The mathematical formulae of logarithm normal distribution model:In formula: x is fault data
Array；μ is the average of fault data array；σ is the variance yields of fault data array.
A kind of aircraft maintenance interval the most according to claim 2 aided analysis method, it is characterised in that described
Type parameter and the machine shape parameter of reference type all include CBR analytical parameters and fail-safe analysis parameter.
A kind of aircraft maintenance interval the most according to claim 6 aided analysis method, it is characterised in that described
CBR analytical parameters includes: type similarity parameter, similarity of tasks parameter and parameters weighting definition.
A kind of aircraft maintenance interval the most according to claim 7 aided analysis method, it is characterised in that described
Step 6 includes: by described mathematical formulae and analytical parameters, calculate the maintenance intervals of reference.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN105160185B (en) * | 2015-09-14 | 2018-03-02 | 西安航空制动科技有限公司 | Influence the assignment method of airplane brake system mean repair time factor |
| CN107092964B (en) * | 2016-10-31 | 2020-10-09 | 海航航空技术股份有限公司 | First inspection control method for aircraft maintenance project |
| CN107563084A (en) * | 2017-09-11 | 2018-01-09 | 中国航空工业集团公司沈阳飞机设计研究所 | A kind of outfield fault information analysis method based on LCA and CATIA systems |
| CN108038278A (en) * | 2017-11-29 | 2018-05-15 | 安徽四创电子股份有限公司 | A kind of maintenance intervals time formulating method of radar system |
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| CN102030111A (en) * | 2010-11-16 | 2011-04-27 | 中国民航大学 | Aircraft CFDS (Centralized Fault Display System) data analyzer and implementation method thereof |
| CN103384859A (en) * | 2011-02-25 | 2013-11-06 | 斯奈克玛 | Forecasting maintenance operations for an aircraft engine |
| CN103136791A (en) * | 2011-11-29 | 2013-06-05 | 中国商用飞机有限责任公司 | Data association method and data association device used for airplane digitalization maintenance and application |
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