A Functional Architecture of Prognostics and Health Management using a Systems Engineering Approach

A Functional Architecture of Prognostics and Health Management using a Systems Engineering Approach

Li, R. (TU Delft Air Transport & Operations)
Verhagen, W.J.C. (TU Delft Air Transport & Operations)
Curran, R. (TU Delft Air Transport & Operations)

2018

Prognostic and Health Management (PHM) describes a set of capabilities that enable effective and efficient approaches towards data analysis for fault diagnostics and failure prognostics. This can support decision making related to health management, sustainment and operation of critical systems, such as aviation systems. As a result of the rapidly growing interest in PHM, a substantial amount of research proposes and discusses PHM frameworks and system architectures. Previous research efforts conceptual formulation of design methodology to proposes a set of PHM system architectures based on different frameworks, and the derivation of architectures from system requirements. However, further interpretations of PHM system architecture derived from requirements in functional view are lacking. Research on a generic PHM architecture allowing communication and integration with the various contributing systems are lacking. To address these gaps, this research outlines an architecture design methodology incorporating a functional view from a systems engineering perspective. In addition, it proposes a functional architecture for PHM system as the application of the methodology, which has compatibility and interoperability to integrate with the various systems, due to its compliance with the standard of Open System Architecture for Condition-Based Maintenance (OSA-CBM).

http://resolver.tudelft.nl/uuid:32115b67-008b-4111-876d-66be3c8324ca

4th European conference of the prognostics and health management society 2018: 3-6 July 2018, Utrecht, The Netherlands

PHME18: 4th European Conference of the Prognostics and Health Management Society 2018, 2018-07-03 → 2018-07-06, Muntgebouw Utrecht, Utrecht, Netherlands

Institutional Repository

conference paper

© 2018 R. Li, W.J.C. Verhagen, R. Curran