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Your location: Home: ->  FAQ ->  How to test connector performance
The basic reason for connector testing is to confirm the performance of the connector, except for design confirmation tests (on models or pilot samples)-to verify that the design works Most connector tests are performed to confirm connector performance based on test specifications or qualification testing procedures. Generally includes environmental testing, mechanical performance testing, and electrical performance testing. Test procedures, measurement and acceptance criteria are related to the application and market requirements of the connector. For general applications and general markets, the test requirements and acceptance standards are also more general.
When the specific application environment becomes the focus of the test program, the test conditions will be more specific and more accurately reflect the actual application situation, as will the measurement and acceptance criteria. This is known as performance verification testing.
The connector reliability test is similar to the performance confirmation test and qualification test, but there are two obvious differences: First, the reliability test must clearly understand the relationship between the test conditions and the application (this is much stricter than the qualification test), in other words , It is required to know the acceleration factor of the test, that is, the condition A in the test X days corresponds to the condition B in the application Y years. This requirement is not easy to meet and limits the application range of the reliability test; Required statistical processing. The acceptance test of the appraisal test is for general application (the product is allowed to be used in a wide range), that is, the product is required to meet the performance requirements in various common applications, so the requirements are higher, the acceptance criteria are stricter, so the reliability The acceptance criteria for testing are much looser, but the statistical requirements for reliability testing are much stricter. For example, the number of samples is much larger, and the statistical analysis requirements are higher.
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