MACHINE LEARNING AND DATA ANALYSIS FOR RF TESTING AND OTHER HARDWARE TESTING

摘要

The implementation of “Machine learning and data analysis for RF testing and other hardware testing” can detect and discover RF test failures by analyzing data from RF calibration station. It can dramatically reduce production cost, optimize production line management, reduce field return cost, improve product quality, and increase precision and accuracy of RF stations on production line. Furthermore, this system providers reference for optimizing hardware configure, improve RF design, and discover indirect potential RF issues. At last, it provides a more thorough understanding of the multi-dimensional RF limits system. With the data collected and analyzed after rolling the system to the production line can be used to deliver a more comprehensive spec for better RF quality. This invention is not limited to cellular stations, but also applies to Bluetooth, WiFi, NFC and other RF stations. This system can also be extended to hardware testing stations other than RF stations with some adjustment.