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Prognostics and health management (PHM) approach, and theoretical models have had great success for industrial systems. Therefore, this motivates us to think about implementing PHM approach for an intelligent remote dual-valve (IRDV) system. Several tool failures during operations occurred, for which the electronics subsystem of IRDV was suspected without being able to reproduce the issue during failure analysis. The aim of this paper is hence to develop a health analyzer for the electronics subsystem of IRDV. This will help the field users identify if the electronics behaved as expected or not using existing job data, classified as healthy or unhealthy from an electronic point of view. Numerical results using real datasets are provided and discussed.