A Modelling Ecosystem for Prognostics

Research output: Chapter in Book/Conference paperConference paper

3 Citations (Scopus)

Abstract

This paper evaluates data-driven asset prognostic models
from a modelling ecosystem perspective, which includes data
description, uncertainty quantification, model selection justi-
fication and validation, and application limitations. An easily
accessible and comprehensive ecosystem enables efficient
reproducibility of previous work to facilitate both the adoption
of the models by industry and the development of future
scientific methods. The results of this study enable the development
of a list of ecosystem elements to accompany the
publication of new models. By describing the ecosystem in
the communication of new models, researchers can ensure the
reproducibility of their models in the wider prognostic community.
Original languageEnglish
Title of host publicationProceedings of the Annual Conference of the Prognostics and Health Management Society 2016
EditorsD Larsen, K Reichard
Place of PublicationUnited States
PublisherPrognostics and Health Management Society
Pages273-281
Number of pages9
ISBN (Print)9781936263226
Publication statusPublished - 2016
EventAnnual Conference of the Prognostics and Health Management Society 2016 - Colorado, Denver, United States
Duration: 3 Oct 20168 Oct 2016

Conference

ConferenceAnnual Conference of the Prognostics and Health Management Society 2016
CountryUnited States
CityDenver
Period3/10/168/10/16

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