Procedural Guide for System-Level Impact Evaluation of Industrial Artificial Intelligence-Driven Technologies: Application to Risk-Based Investment Analysis for Condition Monitoring Systems in Manufacturing.

Sharp, Michael; Dadfarnia, Mehdi; Sprock, Timothy; Thomas, Douglas

Sharp, Michael; Dadfarnia, Mehdi; Sprock, Timothy; Thomas, Douglas.

Affiliation

Sharp M; Systems Integration Division, Engineering Laboratory, National Institute of Standards and Technology, Gaithersburg, MD 20899.
Dadfarnia M; Systems Integration Division, Engineering Laboratory, National Institute of Standards and Technology, Gaithersburg, MD 20899.
Sprock T; Systems Integration Division, Engineering Laboratory, National Institute of Standards and Technology, Gaithersburg, MD 20899; Applied Research Laboratory for Intelligence and Security, University of Maryland, College Park, MD 20742.
Thomas D; Applied Economics Office, Engineering Laboratory, National Institute of Standards and Technology, Gaithersburg, MD 20899.

J Manuf Sci Eng ; 144(7)2022 Jul.

Article de En | MEDLINE | ID: mdl-36578324

Mots clés

condition monitoring systems; cost-benefit analysis; evaluating algorithms; industrial AI tools; inspection and quality control; manufacturing simulation; modeling and simulation; monitoring and diagnostics

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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Etiology_studies / Prognostic_studies / Risk_factors_studies Langue: En Journal: J Manuf Sci Eng Année: 2022 Type de document: Article Pays de publication: États-Unis d'Amérique

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