How to test the performance of the connector

The basic reason for connector testing is to confirm the performance of the connector. In addition to design confirmation testing (performed on models or trial production samples) to verify the effectiveness of the design, most connector tests are based on test specifications or identification test procedures to confirm the performance of the connector. Generally, it includes environmental testing, mechanical performance testing, and electrical performance testing. The test procedures, measurements, and acceptance criteria are related to the application scenarios and market requirements of the connector. For general applications and general markets, the test requirements and acceptance criteria are also more general.

When the specific application environment becomes the focus of the test program, the test conditions will be more specific and accurately reflect the actual application conditions, as will the measurements and acceptance criteria. This is called performance confirmation testing.

Connector reliability testing is similar to performance confirmation testing and identification testing, but there are two obvious differences: First, reliability testing must clearly understand the relationship between test conditions and application scenarios (this is much stricter than identification testing requirements). In other words, it is required to know the acceleration factor of the test, that is, X days of test condition A corresponds to Y years of application condition B. This requirement is not easy to meet and also limits the scope of application of reliability testing; second, acceptance criteria - the scope of acceptance criteria and the required statistical processing. The acceptance criteria for identification testing are for general applications (the product allows a wider range of applications), that is, the product is required to meet performance requirements in various common applications, so the requirements are higher and the acceptance standards are stricter. Therefore, the acceptance criteria for reliability testing are much looser, but the statistical requirements for reliability testing are much stricter, such as the sampling quantity is much larger and the statistical analysis requirements are higher.