State-of-the-Art Review and Synthesis: A Requirement-based Roadmap for Standardized Predictive Maintenance Automation Using Digital Twin Technologies

13 November 2023

Papers citing "State-of-the-Art Review and Synthesis: A Requirement-based Roadmap for Standardized Predictive Maintenance Automation Using Digital Twin Technologies"

7 / 7 papers shown

Title
Probabilistic machine learning based predictive and interpretable digital twin for dynamical systems Tapas Tripura A. Desai S. Adhikari S. Chakraborty AI4CE 48 24 0 19 Dec 2022
The Digital Twin Landscape at the Crossroads of Predictive Maintenance, Machine Learning and Physics Based Modeling Brian E Kunzer Mario Berges Artur Dubrawski AI4CE 33 6 0 21 Jun 2022
From Data to Actions in Intelligent Transportation Systems: a Prescription of Functional Requirements for Model Actionability I. Laña J. S. Medina E. Vlahogianni Javier Del Ser 74 51 0 06 Feb 2020
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI Alejandro Barredo Arrieta Natalia Díaz Rodríguez Javier Del Ser Adrien Bennetot Siham Tabik ... S. Gil-Lopez Daniel Molina Richard Benjamins Raja Chatila Francisco Herrera XAI 116 6,266 0 22 Oct 2019
A Scalable Predictive Maintenance Model for Detecting Wind Turbine Component Failures Based on SCADA Data Lorenzo Gigoni Alessandro Betti M. Tucci E. Crisostomi 23 11 0 22 Oct 2019
Fleet Prognosis with Physics-informed Recurrent Neural Networks R. Nascimento F. Viana 17 52 0 16 Jan 2019
Interpretable Categorization of Heterogeneous Time Series Data Ritchie Lee Mykel J. Kochenderfer Ole J. Mengshoel Joshua Silbermann 38 28 0 30 Aug 2017