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Towards a connected Digital Twin Learning Ecosystem in manufacturing: Enablers and challenges.

, , и . Comput. Ind. Eng., (2022)

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Aníbal Armand Inocêncio

Armando Aníbal Chiappe

Aníbal Garza Carbajal

Miguel Aníbal Verdugo Olivares

Guillermo Aníbal Marcus Martínez

 

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An event-based distributed diagnosis framework using structural model decomposition., , , , , и . Artif. Intell., (2014)A qualitative event-based approach to multiple fault diagnosis in continuous systems using structural model decomposition., , , , и . Eng. Appl. Artif. Intell., (2016)Improving robustness in consistency-based diagnosis using possible conflicts., , и . ECAI, том 178 из Frontiers in Artificial Intelligence and Applications, стр. 791-792. IOS Press, (2008)Characterizing and Computing HBG-PCs for Hybrid Systems Fault Diagnosis., , , и . CAEPIA, том 9422 из Lecture Notes in Computer Science, стр. 116-127. Springer, (2015)A Big Data Architecture for Fault Prognostics of Electronic Devices: Application to Power MOSFETs., , , и . IEEE Access, (2019)Integration of Simulation and State Observers for Online Fault Detection of Nonlinear Continuous Systems., , и . IEEE Trans. Syst. Man Cybern. Syst., 44 (12): 1553-1568 (2014)Integrating PCA and structural model decomposition to improve fault monitoring and diagnosis with varying operation points., , , и . Eng. Appl. Artif. Intell., (2023)Analyzing the Influence of Differential Constraints in Possible Conflict and ARR Computation., , и . CAEPIA, том 5988 из Lecture Notes in Computer Science, стр. 11-21. Springer, (2009)Distributed Prognostics Based on Structural Model Decomposition., , и . IEEE Trans. Reliability, 63 (2): 495-510 (2014)A Common Framework for Compilation Techniques Applied to Diagnosis of Linear Dynamic Systems., , , , и . IEEE Trans. Syst. Man Cybern. Syst., 44 (7): 863-876 (2014)