CN106126924B - A kind of comprehensive performance evaluation method of panzer piggyback pod - Google Patents
A kind of comprehensive performance evaluation method of panzer piggyback pod Download PDFInfo
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- CN106126924B CN106126924B CN201610471276.7A CN201610471276A CN106126924B CN 106126924 B CN106126924 B CN 106126924B CN 201610471276 A CN201610471276 A CN 201610471276A CN 106126924 B CN106126924 B CN 106126924B
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Abstract
The present invention relates to a kind of comprehensive performance evaluation methods of panzer piggyback pod, belong to test technique automatic field.The each failure predication probability obtained when the present invention is using fault diagnosis, further performance evaluation is done to piggyback pod, and by the thought of analytic hierarchy process (AHP), qualitative things is quantified, the evaluation that objective and fair can be finally made to different piggyback pod performances intuitively gives the performance quality of different piggyback pods.This method accurately can make performance evaluation to piggyback pod, coincide with actual conditions, even more provide reference to raising piggyback pod performance.
Description
Technical field
The present invention relates to a kind of comprehensive performance evaluation methods of panzer piggyback pod, belong to test technique automatic field.
Background technique
The piggyback pod of panzer is the all-in-one machine comprising engine and gearbox, is the core component of entire vehicle, property
The overall performance of panzer can be largely fixed.Piggyback pod is coupled to form by gearbox and engine, engine handleization
Can be converted into mechanical energy, and gearbox is made of hydraulic torque converter, planetary gear and steerable system, play speed change and become torque
Purpose.Before vehicle assembly, it is necessary to carry out comprehensive performance evaluation to piggyback pod, the product of only performance qualification can just be used for
Vehicle assembly, so the performance evaluation to piggyback pod is necessary, and the data needed for evaluating can be extracted on testing stand.
In existing Performance Evaluation System, it is not directed to the comprehensive performance evaluation method of piggyback pod.And in existing maturation
Method in, have the respective performance evaluation for engine and gearbox, by extracting various performance indicators, with level point
The methods of analysis, grey relational grade are evaluated, but these methods are not all suitable for the comprehensive performance evaluation of piggyback pod, because of dress
The piggyback pod figure of first vehicle is big, should not dismount, and the parameter that can be used to evaluate is few.It in addition can not be individual engine, change
Fast case performance evaluation simply integrates the overall performance evaluation as piggyback pod, because can be mutual after engine and gearbox coupling
It mutually influences, separately evaluation cannot embody the overall performance of piggyback pod.
In a kind of existing 201610178687.7 " Method Using Relevance Vector Machine panzer piggyback pod fault diagnosis based on optimization of patent
Method " in, we have obtained piggyback pod fault diagnosis situation by the Method Using Relevance Vector Machine method optimized, and for Method Using Relevance Vector Machine
Method, output are not only which kind of malfunction piggyback pod is in, and there are also the probability of every kind of malfunction.In existing patent,
The method for not carrying out comprehensive performance evaluation using malfunction probability.
Summary of the invention
The purpose of the invention is to provide a kind of comprehensive performance evaluation method of panzer piggyback pod.This process employs
The probability of every kind of malfunction is based on analytic hierarchy process (AHP) thought, proposes a kind of practical comprehensive performance evaluation method, can compare
The performance in more objective reaction power cabin, the assembly for subsequent panzer provide guidance.
In order to achieve the above objectives, the present invention uses following technical scheme.
A kind of comprehensive performance evaluation method of panzer piggyback pod, the specific steps are as follows:
Step 1, the related data that piggyback pod is acquired by piggyback pod testing stand sensor, obtaining piggyback pod is in normal
State or malfunction, and piggyback pod can be obtained and be in each i.e. q of shape probability of state1To q11。
Step 2 obtains H
2-1, when the piggyback pod diagnostic result of step 1 be malfunction when, overall merit score H=0, end this time comment
Valence；
2-2, when the piggyback pod of step 1 is in normal condition, then the record probability that this time all kinds of failures occur, i.e. q1It arrives
q11；
2-3, weight of all kinds of failures relative to comprehensive performance, i.e. w are found out using analytic hierarchy process (AHP)1To w11。
2-4, the weight obtained according to the obtained probability of 2-2 and 2-3 carry out comprehensive performance evaluation to piggyback pod, provide
Evaluation score H obtains quantitative assessment, and then obtains qualitative evaluation.
The method of evaluation score H is provided described in step 2-4 are as follows:
In formula, fiThe scoring value of each evaluation parameter is represented, the size of value is the probability q that every class failure occursiMultiply 10,
Reference value of the probability of happening of each malfunction of the piggyback pod measured as piggyback pod performance evaluation scoring value, qiIt is bigger, then
In this performance evaluation, the influence to H is higher.wiIndicate the weight of each evaluation parameter obtained using analytic hierarchy process (AHP).
Influence due to malfunction to H is negative effect, fiwi(i=1,2,3 ... 11) value are bigger, and comprehensive performance evaluation score is got over
It is low, therefore fiwiThe coefficient of front is negative.
Step 3, the H value obtained according to step 2 carry out quantitative assessment, and the probability occurred by all kinds of failures to piggyback pod
Size, qualitative evaluation is provided to the performance of the piggyback pod.
The thought that analytic hierarchy process (AHP) is used for reference in step 2-3, can analyze, if there are different failures in piggyback pod,
These possible failures are different to the performance influence degree of piggyback pod, to reflect the failure to piggyback pod performance influence degree
Weight.
Step 3 using fault diagnosis as a result, when there is the maximum probability of certain failure in piggyback pod, then illustrating this kind
The performance state of the functional component for the piggyback pod that failure is reacted be not very well, in this way can be to the specific functional module of piggyback pod
Performance evaluation make some guidances, have reference.
Beneficial effect
1, the comprehensive performance evaluation method of a kind of panzer piggyback pod proposed by the present invention, obtains when using fault diagnosis
Each failure predication probability does further performance evaluation to piggyback pod, and by the thought of analytic hierarchy process (AHP), by qualitative thing
Object amount can finally make the evaluation of objective and fair to different piggyback pod performances, intuitively give different piggyback pods
Performance quality.
2, the comprehensive performance evaluation method of a kind of panzer piggyback pod proposed by the present invention, has not only compared difference
The performance superiority and inferiority of piggyback pod, and it is directed to different dynamic cabin, indicate the performance state of the specific component of piggyback pod, even more for production
Process provides theoretical direction opinion.This method accurately can make performance evaluation to piggyback pod, coincide with actual conditions, more
It is that reference is provided to raising piggyback pod performance.
Detailed description of the invention
Fig. 1 piggyback pod comprehensive performance evaluation algorithm flow chart；
Fig. 2 piggyback pod multi-function test stand layout drawing；
Fig. 3 piggyback pod comprehensive performance evaluation block diagram.
Specific embodiment
The side of comprehensive performance evaluation is carried out to it the present invention provides a kind of effective use piggyback pod fault diagnosis data
Method has actual directive significance for the overall merit of panzer piggyback pod.In actual piggyback pod assessment process, mostly
Number situation piggyback pod is in normal condition, and only few number state is malfunction, once in machine assessment process, out
After failure, the performance of the machine is with regard to very poor.But it for most of nominal situation, is done using the Method Using Relevance Vector Machine of optimization
After complete fault diagnosis, although the probability of each fault category can clearly reflect the piggyback pod and be in normal operation,
There is the problems such as different degrees of damage or bad performance in certain functional components, utilize these data in this way, connect for us
The comprehensive performance evaluation of the piggyback pod to get off provides reasonable scientific basis.Such as when piggyback pod is diagnosed to be as normal condition,
But it is that the probability of a certain malfunction is very high, and this kind of malfunction can significantly reflect the comprehensive of piggyback pod
When closing performance, illustrate that the performance state of the machine is not very well, to need to be investigated, performance evaluation is lower, is mentioned using the present invention
The method of confession can quantify its performance evaluation.
With reference to the accompanying drawings of the specification and related example, the performance evaluation of piggyback pod is explained in detail, detailed process
It is as follows.
The present invention tests on piggyback pod multi-function test stand, and functional block diagram is as shown in Figure 2.Piggyback pod compbined test
Platform is mainly by mechanical stage body (tooling bracket including cast iron platform pedestal, a variety of different automobile types), supplying module (lift pump
Stand, engine oil supplying pumping plant, hydraulic oil feed pump station etc.), operating mechanism (gear-change operation handle, power control pedal), load mould
Block (electric eddy current dynamometer, torque speed sensor etc.), computer measurement and control system (with it is existing various on engine and gearbox
Sensor interface is connected) composition.The piggyback pod that testing stand mainly completes 2 germline train of vehicles (89A series, 04A series) is comprehensive dynamic
Force actuators are assembled into the bench test after " piggyback pod ".Based on the experiment porch, the method referred to the present invention, into
The comprehensive performance evaluation in action edge cabin.
Embodiment 1
Step 1 determines that piggyback pod is to obtain each probability of malfunction q in normal condition or malfunction1To q11。
1-1, on existing piggyback pod multi-function test stand, piggyback pod passes through various sensor interfaces and computer measurement and control system
System is connected, and on computers, the parameter that can directly read has: diesel oil flow, output revolving speed, output torque, engine oil pressure, machine
Oil temperature, water temperature, fan pump inlet pressure, fan pump discharge pressure, totally 8 input parameters, are denoted as A respectively1, A2……A8.And
The common failure of piggyback pod has: engine misfires, engine rough idle, engine inability, engine overheat, oil pressure
Power exception, oil leak, fuel consumption increase, failure between each axis of gearbox (totally 7 grades of gearbox, including one reverse gear, totally 4 therefore
Barrier state).Above-mentioned failure shares 11 kinds of malfunctions, in addition a kind of normal condition, then piggyback pod totally 12 kinds of states, are successively denoted as
B1,B2……B12.The comprehensive performance for remembering piggyback pod is H.Then the comprehensive performance evaluation block diagram of piggyback pod is as shown in Figure 3.
1-2, acquisition experimental data.On piggyback pod multi-function test stand, change relevant parameter, acquires 12 kinds of shapes of piggyback pod
Sample data under state (including 11 kinds of malfunctions and a kind of normal condition), 40 samples of every kind of state acquisition amount to 480
Sample.Acquire diagnostic parameter: diesel oil flow, output revolving speed, output torque, engine oil pressure, oil temperature, water temperature, wind
Pump inlet pressure, fan pump discharge pressure are fanned, totally 8 status signals, forms sample data.The present embodiment acquires three kinds of 04A systems
The piggyback pod data of column.
1-3 uses " a kind of Method Using Relevance Vector Machine panzer piggyback pod method for diagnosing faults based on optimization ", obtains three kinds and moves
Power cabin is that the probability output that occurs of normal condition and all kinds of states is as follows:
Q1=[0.0140 0.0054 0.0180 0.0061 0.0121 0.0167 0.0213 0.0230 0.0131
0.0033 0.0036 0.8633]
Q2=[0.0131 0.0426 0.0129 0.0413 0.0124 0.0471 0.0178 0.0100 0.0127
0.0312 0.0240 0.7349]
Q3=[0.0081 0.0191 0.0134 0.0126 0.0210 0.0066 0.0174 0.0173 0.0087
0.0130 0.0017 0.8611]
The probability for removing normal condition, as follows as scoring value by remaining malfunction probability multiplied by after 10:
F1=[0.1400 0.0540 0.1800 0.0610 0.1210 0.1670 0.2130 0.2300 0.1310
0.0330 0.0360]
F2=[0.1310 0.4260 0.1290 0.4130 0.1240 0.4710 0.1780 0.1000 0.1270
0.3120 0.2400]
F3=[0.0810 0.1910 0.1340 0.1260 0.2100 0.0660 0.1740 0.1730 0.0870
0.1300 0.0170]
Step 2 obtains H
2-1, according to analytic hierarchy process (AHP), find out B1,B2……B11For the weight of performance evaluation.
1. being quantified according to 1~9 scaling law important according to all kinds of failures to the importance and influence degree of comprehensive performance
Property, importance judgement is carried out to each index respectively, constructs judgment matrix C.Such as engine misfire it is idle with engine
Speed is bad to be compared two-by-two, and the influence ratio for comprehensive performance is 3, is successively compared two-by-two, available judgment matrix C.
2. finding out characteristic vector W corresponding to the maximum eigenvalue of judgment matrix C according to formula (2).By calculated spy
Vector W normalized is levied, obtains the weight of judgment matrix, each of which element represents all kinds of failures to the important of comprehensive performance
Property, realize the distribution of weight.
CW=λmaxW (2)
3. the judgment matrix C acquired will determine whether weight distribution is reasonable, need to examine its consistency.Specific practice is,
Coincident indicator CI is sought first, as shown in formula (3).
N is the order of C in formula.
The random consistency ratio CR of judgment matrix, calculation formula is such as shown in (4).
CR=CI/RI (4)
RI is Aver-age Random Consistency Index in formula, for the judgment matrix of 1-12 rank, under RI value table such as table:
| Order | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RI | 0 | 0 | 0.58 | 0.90 | 1.12 | 1.24 | 1.32 | 1.41 | 1.45 | 1.49 | 1.52 | 1.54 |
As CR < 0.1, it is believed that the inconsistency degree of C in permissible range, can use the normalization characteristic vector of W as
Weight vector.Otherwise it needs to reconstruct judgment matrix, adjusts C, redistribute weight.
In this experiment, it is as follows to obtain discrimination matrix C:
Utilize the maximum eigenvalue λ of matlab Program Cmax=11.1269, corresponding characteristic vector W=[0.2323
0.0743 0.1230 0.4335 0.4335 0.0782 0.6949 0.1230 0.1230 0.1230 0.1230]。
Coincident indicator CI=0.01269, consistency ratio CR=0.008 < 0.1, it is believed that the inconsistency degree of C is being held
Perhaps in range.The normalized vector of W is w=[0.0907 0.0290 0.0480 0.1692 0.1692 0.0305 0.2712
0.0480 0.0480 0.0480 0.0480], i.e. w is as weight vector.
2-2, the weight vector obtained in conjunction with the obtained scoring value of step 1-3 and step 2-1 carry out piggyback pod comprehensive
It can evaluate, by formula (1) Calculation Estimation score H, carry out quantitative assessment, the piggyback pod performance for acquiring three 04A series respectively is commented
Value are as follows:
H1=0.8628
H2=0.7786
H3=0.8551
There is this it is found that H1>H3>H2, the best performance of First piggyback pod, second comprehensive performance take second place, the property of third platform
It can be worst.
Data are analyzed it is found that for First piggyback pod, B7And B8Probability of malfunction be apparently higher than other types, therefore
Effect of shifting gears by expertise it is found that the fuel oil transformation efficiency of the piggyback pod is bad, between first and first grade is bad.For
Second piggyback pod, B6Probability of malfunction be apparently higher than other types, analyzing its oil circuit, sealing performance is not good.For third
Platform piggyback pod, B5Probability of malfunction be apparently higher than other types, it is bad to analyze its lubrication technology situation.
By test above show the present invention can not only quantitative comparison go out different dynamic cabin comprehensive performance quality, moreover it is possible to
Enough performance issues specific for piggyback pod provide qualitative guidance, and invention has obtained preferable utilization.
Claims (2)
1. a kind of comprehensive performance evaluation method of panzer piggyback pod, it is characterised in that: specific step is as follows:
Step 1, the related data that piggyback pod is acquired by piggyback pod testing stand sensor, obtaining piggyback pod is in normal condition
Or malfunction, and the probability i.e. q that all kinds of failures occur for piggyback pod under normal condition can be obtained1To q11；
Step 2 obtains H
2-1, when the piggyback pod diagnostic result of step 1 be malfunction when, evaluation score H=0, terminate this time evaluate；
2-2, when the piggyback pod of step 1 is in normal condition, then the record probability that this time all kinds of failures occur, i.e. q1To q11；
2-3, weight of all kinds of failures relative to comprehensive performance, i.e. w are found out using analytic hierarchy process (AHP)1To w11；
2-4, the weight obtained according to the obtained probability of 2-2 and 2-3 carry out comprehensive performance evaluation to piggyback pod, provide evaluation
Score H；
The method of evaluation score H is provided described in the step 2-4 are as follows:
In formula, fiThe scoring value of each evaluation parameter is represented, the size of value is the probability q that every class failure occursiMultiply 10, measuring
The each malfunction of piggyback pod reference value of the probability of happening as piggyback pod performance evaluation scoring value, qiIt is bigger, then herein
In secondary performance evaluation, the influence to H is higher；wiIndicate the weight of each evaluation parameter obtained using analytic hierarchy process (AHP)；Due to
Influence of the malfunction to H is negative effect, fiwiValue it is bigger, comprehensive performance evaluation score is lower, therefore fiwiFront is
Number is negative, wherein i=1, and 2,3 ... 11.
2. a kind of comprehensive performance evaluation method of panzer piggyback pod as described in claim 1, it is characterised in that: according to described
The H value that step 2 obtains carries out quantitative assessment, and the size of the probability occurred by all kinds of failures to piggyback pod, to the piggyback pod
Performance provides qualitative evaluation.
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| CN102591330A (en) * | 2012-03-09 | 2012-07-18 | 北京信息科技大学 | Fault detection system and method for electronic system of engineering vehicle |
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|---|---|---|---|---|
| CN102591330A (en) * | 2012-03-09 | 2012-07-18 | 北京信息科技大学 | Fault detection system and method for electronic system of engineering vehicle |
| CN202443331U (en) * | 2012-03-09 | 2012-09-19 | 北京信息科技大学 | Fault detector for electric control system of engineering vehicle |
| CN104050392A (en) * | 2014-07-07 | 2014-09-17 | 联车（上海）信息科技有限公司 | Novel vehicle fault scoring method |
Non-Patent Citations (1)
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| 复合传动动力舱AHP模糊综合评价方法;田园等;《车辆与动力技术》;20151231(第4期);AHP模糊综合评价方法 第15-21页 |
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Effective date of registration: 20170713 Address after: 100081 No. 5, Zhongguancun South Street, Haidian District, Beijing Applicant after: BEIJING INSTITUTE OF TECHNOLOGY Applicant after: BEIJING NORTH VEHICLE Group Corp. Address before: 100081 No. 5, Zhongguancun South Street, Haidian District, Beijing Applicant before: BEIJING INSTITUTE OF TECHNOLOGY |
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