JIS Z 0602 PDF

JIS Z Test methods for flat pallets (FOREIGN STANDARD). Available for Subscriptions. Content Provider Japanese Industrial Standards [JIS]. Standard (JIS Z ) was performed. From the obtained results, the possibility of practical application was exam- ined. Moreover, the manufacturing process of. JIS Z – JIS Z Test methods for flat pallets. Publication date: ; Original language: English. Please select.

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The reaction rate K using this model is given by the following expression: Single sampling 2 ji. How the lot acceptance rate changes is illustrated by the operation characteristic curve OC curve in figure B.

If the amount of change in the characteristic value is found to be accelerated by thermal stress, in many cases the Arrhenius chemical reaction kinetics model can be applied to this phenomenon.

If we take this current i as the device characteristic X discussed in B. 0620, we consider the system in figure B. The values of p and q will be uniform for all test results. This is an example of cases in which we can consider that a rare phenomenon will occur with some expectation if the period of observation is sufficiently long or the population to be observed is sufficiently large. Regular versus Military Time. In chemical reactions, if molecules reach the temperature above s they may react the activation energya reaction occurs.

Math Statistics And Probability A. Also, the probability that a device will not fail before time ti is the reliability function R ti. This is analogous to the fact that the remaining life of an adult is not necessarily equal to the expected lifetime of a new born child minus the adult’s actual age. The probability of defective items produced 06022 the manufacturing process is p. The fundamental condition of the Bernoulli trial is that jid are only two types and they are definitely identified.


Will not be passed. Such a probability is a typical example of the binomial probability distribution. The parameter is the value of m. The initial value for starting the trial is 0 and we perform N tests. That is, it is a non-maintainable component. MTBF known after the life of equipment is of no practical use.

We cannot expect that there will be no collision for some time since one has just occurred. This process is explained in detail as follows. From one end of the wafer, each portion is inspected with a microscope. Documents Flashcards Grammar checker. Let us first examine a simple binomial distribution model to know concretely what the normal distribution expresses.

Since the location of the dust particles on the wafer surface is unpredictable, we can assume that mask defects occur completely at r random. Different ways are available for sampling n devices from N devices.

Such a system is known as a series system of redundancy of 0 figure B. When equipment can be repaired by renewing a failed device, the mean value of the interval that operation is possible between occurrences of failures is know as the MTBF Mean Time Between Failures.

Similarly, we cannot say that a cosmic ray will soon collide with a semiconductor device because there have been no collisions for a moment.

A.1 AQL Sampling Table

The Japan society of machinery water vapor tables new edition Note: If two-sided probability of distribution is considered, then the above values, respectively, correspond to 2. Number of pieces rejected.

For example, if we say that 062 given semiconductor device has a failure rate of 10 FIT, this means that one device fails for every component hours. For studying the change, in this model, probabilities of individual devices failing by the time t are jiz p tand the probability that at least one of the jiz devices will fail is F t.


Subsequent lots are, however, subject to normal inspection. As the device is 06022 to more and more cycles of intermittent operation nas shown in figure B. The number of samples is determined according to the limits of the binomial distribution indexes. This is referred to as upper 20 percent point. Each test result is independent from one another.

Let us assume that the device will fail when the characteristic value changes to XL. We deal with this issue in B.

JIS Z 0602:1988

This model consists of m units connected in series, which i-th unit has ni devices connected in parallel. Use first sampling plan below arrow. A mask defect can be detected at the same level of expectation at the inspection area t and at the number 002 inspection cycles x figure B.

Noting the relation expressed by Eqs. If the original population is large, however, the fraction defective obtained 06022 a sampling inspection can be approximated by the binomial distribution. This discrete model is termed the Bernoulli trial or sampling. Therefore, the MTBF for a truncated portion of the life of the equipment up to the time T0 is estimated using the following expression: This is a parallel system with a redundancy of n -1 figure B.

The AQL plan measures the lot whose fraction defective is p1 as kis the lowest acceptable quality level.

This, however, is not equivalent to saying the device lifetime is hours. The risk of this rejection implies the producer’s loss, so the risk is referred to as producer’s risk. Variance of normal distribution X0:

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