An intelligent approach to sensor fusion-based diagnostics

This paper describes the integration of diverse sensor technology capable of analyzing units under test (UUT) from different perspectives, with advanced analysis techniques that provide new insight into static, dynamic, and historical UUT performance. Such methods can achieve greater accuracy in failure diagnosis and fault prediction; reduction in cannot duplicate (CND), retest-OK (RTOK) rates, and ambiguity group size; and improved confidence in performance testing that results in the determination of UUT ready for issue status.