The basic reason for connector testing is to confirm the performance of the connector. In addition to design confirmation testing (on models or trial production samples) - verifying the effectiveness of the design, most connector testing is based on testing specifications or qualification testing procedures to confirm the performance of the connector. Generally includes environmental testing, mechanical performance testing, and electrical performance testing. The testing program, measurement, and acceptance criteria are related to the application scenarios and market requirements of the connector. For general application scenarios and general markets, the testing requirements and acceptance criteria are also quite common.

When the specific application environment becomes the focus of the testing program, the testing conditions will be more specific and accurately reflect the actual application situation, and the measurement and acceptance standards will also be the same. This is called performance confirmation testing.

Reliability testing of connectors is similar to performance confirmation testing and qualification testing, but there are two obvious differences: first, reliability testing requires a clear understanding of the relationship between testing conditions and application scenarios (which is much stricter than qualification testing requirements), in other words, it requires knowledge of the acceleration factor of the test, that is, the A condition X days in the test corresponds to the B condition Y years in the application. This requirement is not easy to meet and limits the scope of reliability testing applications; The second is the acceptance criteria - the scope of acceptance criteria and the required statistical processing. The acceptance criteria for identification testing are aimed at general application scenarios (where the product is allowed to have a wider range of applications), which require the product to meet performance requirements in various common application scenarios. Therefore, the requirements are higher and the acceptance criteria are stricter. Therefore, the acceptance criteria for reliability testing are much looser, but the statistical requirements for reliability testing are much stricter, such as a much larger sample size and higher statistical analysis requirements.