Industrial data management strategy towards an SME-oriented PHM

Omri, Nabil; Masry, Zeina Al; Mairot, N.; Giampiccolo, S.; Zerhouni, Noureddine

doi:10.1016/j.jmsy.2020.04.002

Cited by 53 publications

(44 citation statements)

References 47 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Health monitoring aims at following the current state of a system ( Kalgren et al, 2006 ; Omri et al, 2020 ). The objective of this process is to obtain a representation of the system state and to provide an assessment of its condition/health ( Racoceanu, 2006 ) including incipient degradation.…”

Section: Problem Statementmentioning

confidence: 99%

Control Sequence Ranking for Critical System Based on Health of Equipment Thanks to Choquet Integral

Bouaziz

Marangé

Voisin

et al. 2021

Front. Artif. Intell.

View full text Add to dashboard Cite

This paper presents a ranking method of operating sequences based on the actual condition of complex systems. This objective is achieved using the health checkup concept and the multiattribute utility theory. Our contribution is the proposal of sequences ranking process using data and experts’ judgments. The ranking results in a decision-making element; it allows experts to have an objective and concise overall ranking to be used for decision making. A case study is presented based on an experimental platform; it allows us to compare two aggregation operators: the weighted mean and the Choquet integral.

show abstract

Section: Problem Statementmentioning

confidence: 99%

Control Sequence Ranking for Critical System Based on Health of Equipment Thanks to Choquet Integral

Bouaziz

Marangé

Voisin

et al. 2021

Front. Artif. Intell.

View full text Add to dashboard Cite

show abstract

“…Prognostics and health management (PHM), as a newly developed discipline derived originally from condition-based maintenance [7], has been applied to monitor and predict the health state of PEMFC systems [8,9]. Various prognostics approaches have been investigated for PEMFC applications aiming at assessing its health state and predicting its remaining useful life (RUL).…”

Section: Introductionmentioning

confidence: 99%

A data-driven digital-twin prognostics method for proton exchange membrane fuel cell remaining useful life prediction

Meraghni

Terrissa

Yue

et al. 2021

International Journal of Hydrogen Energy

112

View full text Add to dashboard Cite

Prognostics and health management of proton exchange membrane fuel cell (PEMFC) systems have driven increasing research attention in recent years as the durability of PEMFC stack remains as a technical barrier for its large-scale commercialization. To monitor the health state during PEMFC operation, digital twin (DT), as a smart manufacturing technique, is applied in this paper to establish an ensemble remaining useful life prediction system. A data-driven DT is constructed to integrate the physical knowledge of the system and a deep transfer learning model based on stacked denoising autoencoder is used to update the DT with online measurement. A case study with experimental PEMFC degradation data is presented where the proposed data-driven DT prognostics method has applied and reached a high prediction accuracy. Furthermore, the predicted results are proved to be less affected even with limited measurement data.

show abstract

“…These algorithms become useless in the case when the data are not suitable for this task [11]. Data quality has a major impact on the success of the PHM implementation [5]. Nevertheless, the suitability of the existing data quality for the different PHM tasks still an understudied problem [11].…”

Section: Introductionmentioning

confidence: 99%

“…For that purpose, a formalization of the problem is proposed which leads to understand the impact of data quality on the fault detection task. The proposed metric is firstly validated using some benchmarks and then applied to the Scoder application [5], which is a real case study. Throughout the paper, the terms "data", "variable" and "feature" are used interchangeably, as is often done in academic literature.…”

Section: Introductionmentioning

confidence: 99%

Towards an adapted PHM approach: Data quality requirements methodology for fault detection applications

Omri

Masry

Mairot³

et al. 2021

Computers in Industry

Self Cite

View full text Add to dashboard Cite

Industrial data management strategy towards an SME-oriented PHM

Cited by 53 publications

References 47 publications

Control Sequence Ranking for Critical System Based on Health of Equipment Thanks to Choquet Integral

Control Sequence Ranking for Critical System Based on Health of Equipment Thanks to Choquet Integral

A data-driven digital-twin prognostics method for proton exchange membrane fuel cell remaining useful life prediction

Towards an adapted PHM approach: Data quality requirements methodology for fault detection applications

Contact Info

Product

Resources

About