ADEPS: A Methodology for Designing Prognostic Applications



Jose Ignacio Aizpurua Victoria M. Catterson


Prognostics applications predict the future evolution of an asset under study, by diagnosing the actual health state and modeling the future degradation. Due to rapidly growing interest in prognostics, different prediction techniques have been developed independently without a consistent and systematic design. In this paper we formalize the prognostics design process with a novel methodology entitled ADEPS (Assisted Design for Engineering Prognostic Systems). ADEPS combines prognostics concepts with model-based safety assessment, criticality analysis, knowledge engineering and formal verification approaches. The main activities of ADEPS include synthesis of the safety assessment model from the design model, prioritization of the system failure modes, systematic prognostics model selection and verification of the adequacy of the prognostics results with respect to design requirements. By linking system-level safety assessment models and prognostics results, design and safety models are updated with online information about different failure modes. This step enables system-level health assessment including
prognostics predictions of different failure modes. The endto-end application of themethodology for the design and evaluation of a power transformer demonstrates the benefits of the proposed approach including reduced design time and effort, complete consideration of prognostics algorithms and updated system-level health assessment.

How to Cite

Aizpurua, J. I., & Catterson, V. M. (2016). ADEPS: A Methodology for Designing Prognostic Applications. PHM Society European Conference, 3(1).
Abstract 173 | PDF Downloads 75



complex systems, Criticality analysis, Model-based safety analysis, verification requirements, Generic prognostics methodology

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