Issues in the Design and Optimization of Health Management Systems.

摘要

The design of a health management system is presented as a decision problem. The decision space is affected by the choice of a particular health management system design and an employed maintenance policy. To the lst order, the evaluation objectives consist of the conflicting goals of minimizing purchase costs, minimizing operating costs, and maximizing availability. In order to assist and even automate the decision process, data and computational tools for calculating the objectives are needed. While calculating purchase costs is straightforward, determining operating costs and availability is not. Parameters such as failure rate, criticality, component replacement cost due to unplanned and planned maintenance, and average downtime for repair are examples of data needed to determine the operating costs and availability. These types of data are not part of traditional product models. Some of the data is partially contained in the traditional FMECA, but much of it is not. This shortcoming is the motivation for tools to assist in the design of health management systems, such as the FMECA++ tool being developed by Impact Technologies and Penn State Applied Research Laboratory.