Coupling Prognostics and Decision Making (P&amp;DM) Processes in PHM: A literature review and proposal of a Residual Performance Lifetime concept

Drissi, Ayoub; Iung, Benoît; Voisin, Alexandre; Vincent, Galinier,

doi:10.1016/j.ifacol.2022.09.198

Search citation statements

Order By: Relevance

Paper Sections

Select...

Introduction1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2023

2024

Publication Types

Select...

Article1

Other1

Relationship

Self Cite0

Independent2

Authors

Journals

Cited by 2 publications

(1 citation statement)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…All these modern technologies make industrial data collection and exploitation a significant role of Industry of Future. Industrial data have numerous use cases from various domains that can range from predictive maintenance to traceability means [3]. The heterogeneity of data usage and data origins creates new interoperability issues that can cripple business performance if not addressed correctly.…”

Section: Introductionmentioning

confidence: 99%

Evaluation Methodology of Interoperability for the Industrial Domain: Standardization vs. Mediation

et al. 2023

View full text Add to dashboard Cite

With the arrival of Industry 4.0, interoperability has become a major subject for companies worldwide. It is a crucial asset that enables new technologies and possibilities (Industrial Internet of Things, predictive maintenance or traceability solutions). With the increasing importance of data in business use cases, companies are faced with a choice between two interoperability approaches to deal with the challenge of reconciling different domains: standardization and mediation. This paper presents an analysis of each approach and proposes a decision-making methodology based on the Analytic Hierarchy Process (AHP) that aims to help companies in choosing the most suitable solution to resolve interoperability challenges.

show abstract

Section: Introductionmentioning

confidence: 99%