Virtual Data Generation and Development of RF Module Fault Analysis Tool for PHM Application

Abstract

Purpose: This study proposes virtual data generation methods and develops a fault analysis tool for the prognostics and health management (PHM) of a radio frequency (RF) module, which is the main component used in electronic warfare devices.BRMethods: Current signals are assumed to be measured on the RF module and selected for virtual data generation. The three fault modes of the RF module are identified with help of an electronic warfare developer group.BRResults: The following fault modes are identified: 1) Delaying initial booting time, 2) continuously decreasing current, and 3) outlier of current signal. Accordingly, different types of signals are generated virtually, and the fault analysis tool is developed in the MATLAB software environment.BRConclusion: Virtual signal generation for different fault modes and its application in the analysis tool can be implemented for other types of electronic warfare as well. In addition, it can be applied to build prognosis models during the initial product development phase, despite the lack of field data.