A Unified Diagnosability Evaluation Framework for Complex Systems

Abstract

A unified diagnosability evaluation framework for complex systems is presented. In this framework, four elements are used to define the diagnosability evaluation problem: fault space, indication space, fault-indication relation, and metrics. In different stages of product life cycle, the information source for diagnosability analysis may be different. But the evaluation procedure, information integration method and relation models are similar and can be unified into a framework to provide guidelines for system design and analysis. This paper is focused on the extraction of the principle rules of diagnosability evaluation and the selection of information for analysis in different stages of system life cycle. Ambiguity analysis based evaluation measures are also proposed as a complement of previous works. Both system level evaluation and component level evaluation metrics are introduced.