Multi-source data-based reliability test design and decision-making method for success or failure product
A technology of multi-source data and experimental design, applied in electrical digital data processing, special data processing applications, calculations, etc., can solve problems such as difficulty in meeting the requirements of sample size, and achieve the effect of low cost
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[0054] Now through the application of a certain system, the method of this patent is explained.
[0055] Step 1: Obtain the correction factor of multi-source data parameters
[0056] It is known that a product has been tested for 3 times before the reliability test. The test data are (81,84), (115,125), (101,113), and the corresponding correction factors are k respectively. 1 = 0.894, k 2 = 0.956, k 3 = 0.994.
[0057] Step 2: Establish a test evaluation model
[0058] It can be calculated by formulas (6) and (8) to satisfy γ=0.9, R L =0.865, the minimum input sample size is 23, and the number of successes required is 21.
[0059] Note: If conventional methods are used, a minimum of 51 samples should be invested in high-risk situations.
[0060] Step three: weighing the cost of the experiment
[0061] Know the cost of each product C s 20,000 yuan, each test cost C t 10,000 yuan, C Loss 1 million, the risks and costs corresponding to different sample sizes are calculated as:
[0062] Table...
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