Explainable Decision Support Tool for IoT Predictive Maintenance within the context of Industry 4.0 - Archive ouverte HAL
Proceedings/Recueil Des Communications Année : 2023

Explainable Decision Support Tool for IoT Predictive Maintenance within the context of Industry 4.0

Résumé

This paper proposes a decision support tool that combines both prediction and explanation capacities in order to perform the predictive maintenance. The proposed decision support tool provides explanations about a degradation occurrence and its dynamic development based on the domain expertise knowledge as well as the exploitation of sensor data and inspection reports. The proposed tool is illustrated using a well-known C-MAPSS (Commercial Modular Aero-Propulsion System Simulation) data competition benchmark simulating the degradation of a fleet of gas-turbine engines.

Domaines

Automatique
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Dates et versions

hal-04707145 , version 1 (24-09-2024)

Identifiants

Citer

Moamar Sayed-Mouchaweh, Lala Rajaoarisoa. Explainable Decision Support Tool for IoT Predictive Maintenance within the context of Industry 4.0. 2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA), IEEE, pp.1492-1497, 2023, ⟨10.1109/ICMLA55696.2022.00234⟩. ⟨hal-04707145⟩
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