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A Generic Software Architecture for Prognostics (GSAP).


ABSTRACT: Prognostics is a systems engineering discipline focused on predicting end-of-life of components and systems. As a relatively new and emerging technology, there are few fielded implementations of prognostics, due in part to practitioners perceiving a large hurdle in developing the models, algorithms, architecture, and integration pieces. Similarly, no open software frameworks for applying prognostics currently exist. This paper introduces the Generic Software Architecture for Prognostics (GSAP), an open-source, cross-platform, object-oriented software framework and support library for creating prognostics applications. GSAP was designed to make prognostics more accessible and enable faster adoption and implementation by industry, by reducing the effort and investment required to develop, test, and deploy prognostics. This paper describes the requirements, design, and testing of GSAP. Additionally, a detailed case study involving battery prognostics demonstrates its use.

SUBMITTER: Teubert C 

PROVIDER: S-EPMC7059772 | biostudies-literature | 2017 Sep

REPOSITORIES: biostudies-literature

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A Generic Software Architecture for Prognostics (GSAP).

Teubert Christopher C   Daigle Matthew J MJ   Sankararaman Shankar S   Goebel Kai K   Watkins Jason J  

International journal of prognostics and health management 20170901 2


Prognostics is a systems engineering discipline focused on predicting end-of-life of components and systems. As a relatively new and emerging technology, there are few fielded implementations of prognostics, due in part to practitioners perceiving a large hurdle in developing the models, algorithms, architecture, and integration pieces. Similarly, no open software frameworks for applying prognostics currently exist. This paper introduces the Generic Software Architecture for Prognostics (GSAP),  ...[more]

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