PHM decision support under uncertainty

Abstract

Decision support systems aim to improve the quality of services and help operators perform their duties faster, more accurately and more efficiently by providing an immense amount of knowledge. As human operators cannot convey their complete understanding of the situation to the system, decision support systems face the challenge of interpreting human intent based on operator inputs, which introduces a high level of uncertainty into the system. In this paper, a decision support system is used for determining system health status as a decision aid to the operator. The goal of this work is to supplement sensor data with human inputs in a prognostic health management environment while minimizing the effects of uncertainty and to provide situational awareness for the operator.