CN107169165A - A kind of surface modification technology method for evaluating reliability based on environmental effect - Google Patents
A kind of surface modification technology method for evaluating reliability based on environmental effect Download PDFInfo
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Abstract
The present invention provides a kind of surface modification technology method for evaluating reliability based on environmental effect, and step is as follows：One：Critical surfaces integrity feature and sensitive environment stress analysis；Two：Critical surfaces integrity feature, which is degenerated, tests；Three：The foundation of degradation prediction model；Four：The degradation prediction of critical surfaces integrity feature under dynamic environment；Five：The calculating of evaluation index；Pass through above step, being capable of degenerative process of the Accurate Prediction critical surfaces integrity feature in dynamic environment, it is more than the probability of degradation by calculating the moment of certain in dynamic environment critical surfaces integrity feature, assessment can be made to the ability that the technique resists environmental stress, the reliability assessment of the technique is realized, and help can be provided for the optimization of the technological process.
Description
Technical field
The present invention relates to a kind of surface modification technology method for evaluating reliability based on environmental effect, this method can be to production
Degenerative process of the product critical surfaces feature in dynamic natural environment makes accurate prediction, can be modified work with quantitative predication surface
The adaptability of skill under various circumstances, the strong and weak evaluation realized to surface modification technology reliability based on the adaptability.
This method is applied to the technical fields such as reliability of technology evaluation, maintenance decision.
Background technology
Surface modification technology is the process of the common improvement product surface characteristic of a class, and it is using chemistry, thing
The method of reason changes the chemical composition or institutional framework of material or workpiece surface to improve one of product parts or material property
Technology.It can improve product by assigning the new characteristic such as product surface high temperature resistant, anticorrosion, wear-resistant, antifatigue
Reliability.The reliability of surface modification technology refers to that can the product that processed by surface modification technology advise in the defined time
The ability of its defined function is realized under conditions of fixed.Carrying out rational reliability of technology evaluation to surface modification technology can be true
The reasonability of process choice is protected, the matching degree of technique and use environment is improved, and then the reliability of product can be improved etc..Cause
This, the quality of reliability of technology evaluation method is significant to product quality.
Researcher is more to the evaluation method of manufacturing process both at home and abroad at present, but lacks to go out from product practical service environment
Hair, the research of evaluation is made based on environmental effect to surface modification technology.Among actual engineer applied, product is different
Failure speed difference in working environment is larger, and this is accomplished by for the different process of different environmental selections.Surface is complete
Whole property is as the key character of product surface integration capability, and its degree of degeneration can embody the degree of injury of product surface,
Ignore influence of the environmental effect to product surface integrality, easily cause product premature failure, it is impossible to complete its defined function.
Therefore, explore and consider that the surface modification technology method for evaluating reliability tool of environmental effect is of great significance, and at present
Research on this respect is more weak, and the invention provides a kind of surface modification technology reliability evaluation based on environmental effect
Method.
The content of the invention
The present invention proposes the surface modification technology method for evaluating reliability based on environmental effect, and it is to be based on Environmental Effect
Should, make quantitative to the reliability of surface modification technology from adaptability of the surface modification technology under dynamic environment for starting point
The method of assessment.Firstly the need of the relation between the failure mode of analysis product, failure mechanism and use environment three, it is determined that closing
Key surface integrity feature and sensitive environmental stress.Then the product modified to surface applies sensitive environmental stress, and detection is simultaneously
The degraded data of record product surface integrity feature, while monitoring and recording the environmental stress during experiment, until crucial table
Face integrity feature degenerates to failure threshold, terminates experiment.Then surface integrity feature is set up using neural network algorithm
Degradation prediction model.Then the detection data of new environmental stress data and product critical surfaces integrity feature are brought into training
Good forecast model, obtains the degraded data of the action of environmental stresses lower surface integrity feature.With reference to critical surfaces integrality
The failure threshold of feature, using model of stress-strength interference, is calculated under dynamic environmental stress effect, critical surfaces integrity feature
Value is used as the surface modification technology reliability evaluation index based on environmental effect more than the probability of failure threshold using it.
(1) goal of the invention
Rational reliability of technology evaluation is able to ensure that the reasonability of process choice, and raising technique is matched with use environment
Degree, and then the reliability of product can be improved.Among actual engineer applied, environmental effect can not only influence product surface
Degenerative process, while also serve the effect of screening to surface modification technology technology, it can intuitively embody environment with
The matching degree of technique.Ignoring influence of the environmental effect to product can cause product can not complete defined function, reduce product
Service life.Lack the method evaluated from environmental effect angle surface modification technology at present.Based on this this hair
It is bright to provide a kind of surface modification technology method for evaluating reliability based on environmental effect, it is a kind of easy, strong operability directly perceived,
Can be to reliability of technology evaluation method of the quantitatively characterizing surface modification technology to adaptive capacity to environment.
(2) technical scheme
The present invention is a kind of surface modification technology method for evaluating reliability based on environmental effect.Pass through the mistake of analysis product
The relation of effect pattern, failure mechanism and environmental stress, determines critical surfaces integrity feature and sensitive environmental stress.Utilize surface
The degraded data of integrity feature and sensitive environment stress data, training neutral net obtain degradation prediction model.Utilize dynamic
The detection data of environmental stress data and surface integrity feature are predicted to the degenerative process of product surface integrity feature.
With reference to prediction data and model of stress-strength interference, by calculating under dynamic environmental stress effect, critical surfaces integrity feature
Value realizes the evaluation to the surface modification technology based on environmental effect more than the probability of failure threshold, and specific method flow is shown in figure
1。
A kind of surface modification technology method for evaluating reliability based on environmental effect of the present invention, is comprised the following steps that：
Step one：Critical surfaces integrity feature and sensitive environment stress analysis；Allusion quotation of the analysis product under natural environment
Type failure mode, the critical surfaces integrity feature C of product is determined according to its failure mechanismi, wherein i=1,2,3 ..., its table
It is shown with i class critical surfaces integrity features, such as, but not limited to hardness, roughness, bond strength etc.；Based on environmental stress to closing
The sensitivity of key surface integrity feature degenerative process, determines its sensitive environmental stress Sl, wherein l=1,2,3 ..., its table
It is shown with the sensitive environmental stress of l kinds, the temperature stress S such as, but not limited in briny environmentT, pH value SP, dissolved oxygen SD, salinity SS、
Oxidation-reduction potential SOPRDeng environmental stress；
Step 2：Critical surfaces integrity feature, which is degenerated, tests；Detect the modified product in surface among natural environment
Degenerative process, and record its degraded data；Specific experiment method is complete for each critical surfaces when detection product is not degenerated first
Property feature, then every annealing time Δ t to its feature CiOne-shot measurement is carried out, until its feature degenerates to failure threshold.It is real
End is tested, while the sensitive environmental stress of monitoring in real time and record data Cij, CijRepresent the i-th class critical surfaces integrity feature
Jth time detection data；
Step 3：The foundation of degradation prediction model；Data vector is built using product degradation data and environmental data, wherein
The form of each sample vector of neural network input layer is：
X=[S1j, S2j, S3j..., Snj, C1j, C2j, C3j..., Cij],
Wherein：X represents sample vector,
N=1,2,3 ..., indicate the sensitive environmental stress of n kinds, [S1j, S2j, S3j..., Snj, C1j, C2j..., Cij] represent n
The sample that the monitor value of class environmental stress jth time and the monitor value of the jth of i class critical surfaces integrity features time are constituted to
Amount；Each sample vector of output layer is Y=[C1j, C2j, C3j..., Cij], i=1,2,3 ...；J=1,2,3 ... its expression
To the jth time detection data of i class critical surfaces integrity features；The surface based on environmental effect is set up with reference to neural network algorithm
The degradation prediction model of integrity feature, training neutral net meets the requirements up to precision, obtains forecast model；
Step 4：The degradation prediction of critical surfaces integrity feature under dynamic environment；By new sensitive environmental stress number
Degradation prediction model is brought into according to the degeneration initial value with critical surfaces integrity feature, calculates surface integrity among the environment special
The degradation prediction data levied；
Step 5：The calculating of evaluation index；With reference to Stress-Strength Interference Model, with the failure threshold of surface integrity feature
Value is as intensity, using the detected value of surface integrity feature as stress, calculates under the effect of dynamic environment effect, critical surfaces are complete
Whole property characteristic value is more than the probability of failure threshold, and relatively more each critical surfaces integrity feature can complete the requirement of its regulation, take
Minimum value realizes the evaluation to the surface modification technology based on environmental effect, evaluation index I calculations are such as evaluation index
Following formula：
I=minP (Cij＞ Fi) and Cij=Ci1-X(t) (1)
Wherein I represents reliability of technology evaluation index, and min represents minimum value, FiRepresent that the i-th class critical surfaces integrality is special
The failure threshold levied, Ci1The initial value of anchoring strength of coating is represented, X (t) represents critical surfaces integrity feature moving back with the time
Change amount；
Wherein, " surface integrity based on environmental effect is set up with reference to neural network algorithm special described in step 3
The degradation prediction model levied, training neutral net meets the requirements up to precision, obtains forecast model ", its practice is as follows：By X=
[S1j, S2j, S3j..., Snj, C1j, C2j, C3j..., Cij] substitute into neural network algorithm input layer, by Y=[C1j, C2j,
C3j..., Cij] output layer of neural network algorithm is substituted into, the iteration of neural network structure and algorithm is set as the case may be
Number of times, precision, learning rate.
Wherein, described in step 4 " by moving back for new sensitive environment stress data and critical surfaces integrity feature
Change initial value and bring degradation prediction model into, calculate the degradation prediction data of surface integrity feature among the environment ", its practice is such as
Under：The input layer of the degeneration initial value of new sensitive environment stress data and critical surfaces integrity feature as model is substituted into
Degradation prediction model, calculates degeneration result successively, and degeneration result and environmental stress data then are continued into iteration, obtains crucial
The degenerative process data of surface integrity feature.
By above step, can degenerative process of the Accurate Prediction critical surfaces integrity feature in dynamic environment, lead to
Cross and calculate the probability that certain moment critical surfaces integrity feature in dynamic environment is more than degradation, ring can be resisted to the technique
The ability of border stress makes assessment, realizes the reliability assessment of the technique, and can provide help for the optimization of the technological process.
(3) advantages of the present invention
I. the surface modification technology method for evaluating reliability proposed by the present invention based on environmental effect is that one kind considers ring
The surface modification technology method for evaluating reliability of border effect, it can realize the quantitatively characterizing of technique and environments match degree, from
The adaptive capacity to environment of technique is evaluated surface modification technology.
Ii. the present invention be directed to a kind of surface modification technology reliability based on environmental effect that surface modification technology is proposed
Evaluation method, it can carry out dynamic prediction to the degeneration of modified product surface integrity feature.
Brief description of the drawings
Fig. 1 the method for the invention flow charts.
The neutral net topological diagram of Fig. 2 present invention.
Fig. 3 present invention's predicts the outcome and experimental result comparison diagram.
The bond strength degeneration increment distribution map of Fig. 4 present invention.
Anchoring strength of coating prediction Degradation path figure under the varying environment of Fig. 5 present invention.
Fig. 6 the present invention evaluation index with the time curve.
Sequence number, symbol, code name are described as follows in figure：
W：Neuron (see Fig. 2)
B：Bias vector (see Fig. 2)
+：The weighted sum of the input value of each neuron (see Fig. 2)
*：Excitation function (see Fig. 2)
0,20,40,60,80,100,120：The detected value of critical surfaces integrity feature (see Fig. 3)
1,5,9,13,17,21,25,29,33,37,41,45,49,53,57,61,65,69,73,77,81,85,89,93,
97,101:Annealing time (see Fig. 3)
T：Annealing time (see Fig. 3, Fig. 4, Fig. 6)
C：The detected value of critical surfaces integrity feature (see Fig. 3)
ΔX：Degeneration increment (see Fig. 4)
Time：The coating degradation time (see Fig. 5)
Strength：Intensity (see Fig. 5)
100,39：Anchoring strength of coating (see Fig. 5)
I：Surface modification technology reliability evaluation index based on environmental effect (see Fig. 6)
Embodiment
There is provided a kind of surface modification technology reliability evaluation side based on environmental effect in an example of the present invention
Method.Certain known surface modification can increase the corrosion resistance that coating improves product in product surface.The working environment of the product is
Natural marine environment.Each environmental stress of the marine environment in product life cycle is monitored in real time and its data is recorded.
Degenerate case of the coating in briny environment is detected simultaneously, and it is complete to its critical surfaces every certain annealing time
Whole property feature is measured, 100 times altogether, and wherein annealing time Δ t is the annealing time of 1 step-length, and record coating combines strong
The initial value and its degraded data of degree.Acquisition degradation prediction model is trained to neutral net using 100 groups of experimental datas.Will
New environmental data brings the forecast model trained into the initial bond strength of coating, obtains anchoring strength of coating under the environment
Degradation prediction data, with reference to stress intensity model, calculate reliability of technology evaluation index.
A kind of surface modification technology method for evaluating reliability based on environmental effect of the present invention, as shown in Figure 1, it is specific real
Apply step as follows：
Step one：Critical surfaces integrity feature and sensitive environment stress analysis.Coating is analyzed under nature seawater environment
Typical failure pattern be coating foaming and stripping, it is special for critical surfaces integrality to define bond strength according to its failure mechanism
Levy.Each environmental stress based on natural marine environment determines that its sensitive environmental stress is to the sensitivity of coating degradation process
The temperature S of seawaterT, the salinity S of seawaterS, the dissolved oxygen S of seawaterD, the pH value S of seawaterP, the oxidation-reduction potential S of seawaterOPRFive
Individual environmental stress.
Step 2：Anchoring strength of coating, which is degenerated, tests.First, to the sensitivity in nature seawater environment in monitoring experimentation
Environmental stress and record data, are shown in Table 1, then the modified product in surface are placed among nature seawater environment, detect coating
Initial bond strength B0, the degenerate case of coating in this context is then observed, and every certain annealing time Δ t to it
Bond strength is measured, until being reduced to the failure threshold of anchoring strength of coating, 100 times altogether, records moving back for bond strength
Change data Bi, be shown in Table 1, the wherein Num in table 1 represents the detection number of times of coating critical surfaces integrity metrics, DEG C, mg/L,
Ppt, mV, MPa are followed successively by the unit of temperature, dissolved oxygen, salinity, redox point position and anchoring strength of coating.
The briny environment Monitoring Data of table 1 is degenerated 100 times with bond strength detects data
Step 3：The foundation of degradation prediction model.The degraded data of anchoring strength of coating is built with sensitive environmental stress
For the input vector of neutral net output layer, wherein the measured value C of each bond strengthiIt is used as the C of next input vectori-1, according to
Secondary iteration, input layer X=[S are substituted into by input vectorT、SP、SD、SS、SOPR, Bi-1].By the measured value C of bond strengthiSubstitute into defeated
Enter a layer Y=[Ci], wherein the sample of input layer is 100, and the sample of output layer is 100, and training neutral net is until precision
Meet and require, neutral net used in the present invention includes an input layer, a hidden layer, an output layer, concrete structure
See Fig. 2, prediction data is shown in Fig. 3 with real data contrast effect, it can be seen that the precision of prediction of the neutral net compared with
It is high.Using the degradation prediction model for considering environmental effect, degradation prediction of the anchoring strength of coating in varying environment can be realized.
The bond strength degradation prediction data of table 2
Step four：Consider the degradation prediction data of environmental effect.By the degeneration initial value of new environmental stress and bond strength
Bring degradation prediction model into, until bond strength degenerates to failure threshold 39Mpa, iteration 100 times, is obtained in the environment altogether
When the degradation prediction data of floating coat, 2 are the results are shown in Table, it is more accurate to predict the outcome, and Fig. 3 is seen with experimental result comparing result.
Step 5：Reliability of technology evaluation index is calculated.The failure threshold of the anchoring strength of coating is 39MPa, will be new
Environmental stress brings environmental effect model into, can obtain degraded data of the coating under new environmental stress.Based on stress-by force
Interference Model is spent, the failure threshold that stress is anchoring strength of coating is defined, intensity is the number that anchoring strength of coating is degenerated with the time
Value, when anchoring strength of coating degradation values be more than or equal to bond strength failure threshold when, product coating do not occur foaming with
Peel off, can realize that it protects the function of product base material, therefore, we move back certain moment anchoring strength of coating under varying environment
The probability that change value is more than or equal to the failure threshold of bond strength is commented as the surface modification technology reliability based on environmental effect
The index I of valency method, such as following formula：
I=P (Ci＞ F) and Ci=C1-X(t) (2)
Wherein CiBond strength when being coating degradation, X (t) is the amount of degradation of anchoring strength of coating, and it is on time t
Function, C1It is the initial value of anchoring strength of coating, F is the failure threshold of anchoring strength of coating.
When coating starts to degenerate, its bond strength can gradually be reduced, and apply in environmental stress and in the presence of the time
The degeneration of layer bond strength is strict canonical, and (t+ Δ t)-X (t) are shown in Fig. 4 to the degeneration increment X of bond strength.By to the ground
The stochastic simulation of area's dynamic environment, the degenerated curve of anchoring strength of coating can be calculated based on environmental effect model, Fig. 5 is seen,
Because the failure threshold of anchoring strength of coating is the time obedience gamma distribution of coating failure under 39MPa, varying environment stress, such as
Following formula：
T~Ga (X；α Δs t, β) (3)
Wherein α Δs t is form parameter, and α Δ t ＞ 0, β are scale parameter and β ＞ 0, and Ga () represents Gamma distributions, then
The distribution density function of coating failure time is：
The calculation formula of reliability of technology evaluation index can be obtained by substituting the above to (1), as follows：
Formula (5) is solved using Matlab, wherein being estimated using Maximum Likelihood Estimation Method parameter, calculated
As a result such as table 3：
The estimates of parameters of table 3
Parameter and prediction data are brought into the calculating formula of evaluation index, the spy that the technique assigns product surface can be obtained
The curve that property is gradually degenerated over time, is shown in Fig. 6.Pass through the curve, it can be seen that the surface modification technology is in the working environment
Under adaptability constantly reduced in the presence of environmental stress, when annealing time reach 150 experiment step-length when, surface be modified
The ability that the surface characteristic of technique imparting product can resist external environment condition erosion is almost nil.
Wherein：
Mechanism in step one is that corrosion reaction can occur for coating top layer or coat inside tissue under briny environment effect,
Gradually increasing for corrosion product causes being gradually reduced for bond strength, until less than the failure threshold under the environment, bubbling
With stripping.
Neutral net in step 3 is comprising an input layer, an output layer, the Feedforward Neural Networks of a hidden layer
Comprising 10 neurons in network, wherein hidden layer, the excitation function of hidden layer uses Sigmond functions, and optimized algorithm is adopted
It is Levenberg-Marquardt Backpropatation algorithms.The sample of input layer is to include in training data
The vector of six dimensions, output layer is the vector containing a dimension.
Claims (5)
1. a kind of surface modification technology method for evaluating reliability based on environmental effect, it is characterised in that：Comprise the following steps that：
Step one：Critical surfaces integrity feature and sensitive environment stress analysis；Typical case mistake of the analysis product under natural environment
Effect pattern, the critical surfaces integrity feature C of product is determined according to its failure mechanismi, wherein i=1,2,3 ..., it indicates i
Class critical surfaces integrity feature；Based on sensitivity of the environmental stress to critical surfaces integrity feature degenerative process, it is determined that
Its sensitive environmental stress Sl, wherein l=1,2,3 ..., it indicates the sensitive environmental stress of l kinds；
Step 2：Critical surfaces integrity feature, which is degenerated, tests；Detect modified product the moving back among natural environment in surface
Change process, and record its degraded data；Specific experiment method is special for each critical surfaces integrality when detection product is not degenerated first
Levy, then every annealing time Δ t to its feature CiOne-shot measurement is carried out, until its feature degenerates to failure threshold；Experiment knot
Beam, while the sensitive environmental stress of monitoring in real time and record data Cij, CijRepresent the jth time of the i-th class critical surfaces integrity feature
Detect data；
Step 3：The foundation of degradation prediction model；Data vector is built using product degradation data and environmental data, wherein nerve
The form of each sample vector of network input layer is：
X=[S1j, S2j, S3j..., Snj, C1j, C2j, C3j..., Cij]
Wherein：X represents sample vector,
N=1,2,3 ..., the sensitive environmental stress of n kinds is indicated,
[S1j, S2j, S3j..., Snj, C1j, C2j..., Cij] represent that the monitor value and i class critical surfaces of n class environmental stresses jth time are complete
The sample vector that the monitor value of the jth time of whole property feature is constituted；Each sample vector of output layer is Y=[C1j, C2j,
C3j..., Cij], i=1,2,3 ..., j=1, jth time detection number of 2,3 ... its expression to i class critical surfaces integrity features
According to；The degradation prediction model of the surface integrity feature based on environmental effect is set up with reference to neural network algorithm, nerve net is trained
Network meets the requirements up to precision, obtains forecast model；
Step 4：The degradation prediction of critical surfaces integrity feature under dynamic environment；By new sensitive environment stress data with
The degeneration initial value of critical surfaces integrity feature brings degradation prediction model into, calculates surface integrity feature among the environment
Degradation prediction data；
Step 5：The calculating of evaluation index；With reference to Stress-Strength Interference Model, made with the failure threshold of surface integrity feature
For intensity, using the detected value of surface integrity feature as stress, calculate under the effect of dynamic environment effect, critical surfaces integrality
Characteristic value is more than the probability of failure threshold, and relatively more each critical surfaces integrity feature can complete the requirement of its regulation, take minimum
Value realizes the evaluation to the surface modification technology based on environmental effect as evaluation index, and evaluation index I calculations are as follows
Formula：
I=min P (Cij＞ Fi) and Cij=Ci1-X (t) (1)
Wherein I represents reliability of technology evaluation index, and min represents minimum value, FiRepresent the i-th class critical surfaces integrity feature
Failure threshold, Ci1The initial value of anchoring strength of coating is represented, X (t) represents amount of degradation of the critical surfaces integrity feature with the time；
By above step, can degenerative process of the Accurate Prediction critical surfaces integrity feature in dynamic environment, pass through meter
The probability that certain moment critical surfaces integrity feature in dynamic environment is more than degradation is calculated, technique resistance environment can be answered
The ability of power makes assessment, realizes the reliability assessment of the technique, and can provide help for the optimization of the technological process.
2. a kind of surface modification technology method for evaluating reliability based on environmental effect according to claim 1, its feature
It is：
" critical surfaces integrity feature " described in step one, refers to but is not limited to hardness, roughness and bond strength.
3. a kind of surface modification technology method for evaluating reliability based on environmental effect according to claim 1, its feature
It is：
" sensitive environmental stress " described in step one, refers to but is not limited to the temperature stress S in briny environmentT, pH value SP、
Dissolved oxygen SD, salinity SSWith oxidation-reduction potential SOPR。
4. a kind of surface modification technology method for evaluating reliability based on environmental effect according to claim 1, its feature
It is：
Described in step 3 " with reference to neural network algorithm set up the surface integrity feature based on environmental effect degeneration it is pre-
Model is surveyed, training neutral net meets the requirements up to precision, obtains forecast model ", its practice is as follows：By X=[S1j, S2j,
S3j..., Snj, C1j, C2j, C3j..., Cij] substitute into neural network algorithm input layer, will
Y=[C1j, C2j, C3j..., Cij] substitute into neural network algorithm output layer, neural network structure is set as the case may be
And iterations, precision, the learning rate of algorithm.
5. a kind of surface modification technology method for evaluating reliability based on environmental effect according to claim 1, its feature
It is：
Described in step 4 " by the degeneration initial value band of new sensitive environment stress data and critical surfaces integrity feature
Enter degradation prediction model, calculate the degradation prediction data of surface integrity feature among the environment ", its practice is as follows：Will be new
The degeneration initial value of sensitive environment stress data and critical surfaces integrity feature substitutes into degradation prediction as the input layer of model
Model, calculates degeneration result successively, and degeneration result and environmental stress data then are continued into iteration, critical surfaces are obtained complete
The degenerative process data of property feature.
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| JEONG TAK OH等: "Reliability Improvement of Hemp Based Bio-composite by Surface Modification", 《FIBERS AND POLYMERS》 * |
| 张先鸣: "零部件热处理与表面改性新技术应用", 《现代零部件》 * |
| 申振峰等: "空间用SiC反射镜表面改性的性能和可靠性评估", 《光子学报》 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108229761A (en) * | 2018-03-16 | 2018-06-29 | 中国电子科技集团公司第三十六研究所 | A kind of environmental stress screening experiment and predictive maintenance comprehensive optimization method |
| CN108229761B (en) * | 2018-03-16 | 2020-08-21 | 中国电子科技集团公司第三十六研究所 | Comprehensive optimization method for environmental stress screening test and prediction maintenance |
| CN108764609A (en) * | 2018-04-10 | 2018-11-06 | 北京航空航天大学 | A kind of inherent reliability appraisal procedure based on multi-source manufacturing process information |
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