Summary of the invention
The invention provides determination and the optimization method of LPT device parameter in a kind of plasma panel manufacture process, by utilizing manufacture process historical data, set up the relativity model of the pre-set parameter of LPT device in plasma panel manufacture process, utilize the yield difference between LPT device under identical parameters between different settings, reflect the influence degree of pre-set parameter article on plasma display screen quality, and find the regulating strategy of the apparatus parameter setting value promoting PDP display production yield, a kind of plasma panel manufacturing processes of final formation walk abreast rationalize defining method.
The technical solution adopted for the present invention to solve the technical problems is: a kind of plasma panel manufacturing processes walk abreast rationalize defining method, comprise the steps:
Step one, according to operation, the LPT device in operation to be divided into groups;
Step 2, the yield statistics of carrying out PDP display under approximate production status is respectively being ensured to the different LPT devices in every group;
Step 3, significance test is carried out to the different LPT devices in every group, calculate actual performance difference;
Step 4, the result of calculation interval of actual performance difference to be judged:
(1) if result of calculation interval comprises 0, then under explanation current set value, the actual performance difference of individual device is significantly not different, and the parameter of individual device remains unchanged;
(2) if result of calculation interval does not comprise 0, then under explanation current set value, the actual performance significant difference of individual device is different, needs the corresponding pre-set parameter pre-set parameter of equipment low for yield being adjusted to the high equipment of yield.
Compared with prior art, good effect of the present invention is: save time and resources costs spent by the mode by repetition test design and verification, improve determine concerning the manufacturing processes of plasma panel quality walk abreast rationalize accuracy; And by the new historical data accumulation after adjustment, carry out this analytical model method of screw type recycling to find out plasma panel and make process and to walk abreast conductive suggestion, manufacturing technology personnel are according to recommended value, carry out the setting of parallel process device parameter value, not only reach the object of lasting spiral lifting plasma panel yields, but also indirectly reduce the percent defective of manufacture process.Meanwhile, in the use procedure of method model, the breaks in production of production line can not be related to, avoid unnecessary line loss of stopping and lose.
Embodiment
Plasma panel manufacturing processes walk abreast rationalize a defining method, comprise the steps:
Step one, divided into groups by the LPT device in operation according to operation, the equipment in each group is the production equipment that function is identical under same operation, because also have identical parameter group.In the production process of PDP display, an equipment group comprises 2 to 3 LPT devices usually;
Step 2, for the above equipment group produced, the different LPT devices in each group are being ensured that the yield that (i.e. the identical period, kinetic parameter is similar) under approximate production status carries out PDP display is respectively added up;
Step 3, significance test is carried out to the different LPT devices in each group:
The yield of the PDP display on distinct device compares by the pre-set parameter for LPT device, and distinguish based on by the screen quantity of each LPT device and yield the LPT device possessing remarkable performance difference, concrete significance test method is as follows:
(1) variance is calculated as follows:
The approximate account form of list portion equipment variance is:
wherein 1-e
ifor yield;
(2) cumulative variance is calculated
(3) actual performance difference is calculated as follows:
On the Confidence possessing (1-α), the actual performance difference of two equipment is:
wherein, the observation yield difference between d indication equipment, α is the yield expected, Z
α/2represent under current yield condition, be distributed as the probability of benchmark with current yield.
Step 4, the result of calculation interval of actual performance difference to be judged:
(1) if result of calculation interval comprises 0, then under explanation current set value, the actual performance difference of individual device is significantly not different, and the parameter of individual device remains unchanged;
(2) if result of calculation interval does not comprise 0, then under explanation current set value, the actual performance significant difference of individual device is different, needs the corresponding pre-set parameter pre-set parameter of equipment low for yield being adjusted to the high equipment of yield.
The inventive method illustrates as follows:
With two LPT device M
1and M
2for example, it is as follows to carry out significance test method:
Equipment M
1yield (g in a measurement period
1) be 85%, pass through M
1screen quantity n
1it is 30;
Equipment M
2yield (g in a measurement period
2) be 75%, pass through M
2screen quantity n
2it is 5000;
When shield quantity reach more than certain value (usually 30) time, yield be scattered in a normal distribution, that is:
E
1=1-g
1~ N (μ
1, σ
1), wherein, μ
1for the average on M1, σ
1for the variance on M1;
E
2=1-g
2~ N (μ
2, σ
2), wherein, μ
2for the average on M2, σ
2for the variance on M2;
The approximate account form of variance is:
For testing the statistical significance of two LPT device performance differences, i.e. real yield difference, needs the variance calculating accumulation
On the Confidence possessing (1-α), the actual performance difference of two kinds of equipment is:
wherein, the observation yield difference between d indication equipment, α is the yield expected, Z
α/2represent under current yield condition, be distributed as the probability of benchmark with current yield.
Wherein the value of Z can be learnt by following Confidence table:
1-α |
0.99 |
0.98 |
0.95 |
0.90 |
Z |
2.58 |
2.33 |
1.96 |
1.65 |
This table is ready-made form under normal distribution by hypothesis yield.
Therefore will possess the Confidence of 95%, namely 1-α=0.95 is obtained by the upper table of inquiry: Z
α/2=1.96, the value of each computational element has in this example:
d=|e
1-e
2|=0.1
Under 95% Confidence, by Z
α/2=1.96 substitute into actual performance difference computing formula can obtain:
Find that above formula result of calculation interval comprises 0, although it is not two equipment are statistically variant at yield under can determining current set value, significantly different under actual performance difference, therefore do not have M
2set point is to M
1change.
Three equipment as above can compare wherein any two equipment, finally obtain that there is the equipment having optimum configurations most.