A metric for assessing and optimizing data-driven prognostic algorithms for predictive maintenance

Title:: A metric for assessing and optimizing data-driven prognostic algorithms for predictive maintenance
Document type:: Zeitschriftenaufsatz
Author(s):: Kamariotis, Antonios; Tatsis, Konstantinos; Chatzi, Eleni; Goebel, Kai; Straub, Daniel
Journal title:: Reliability Engineering & System Safety
Year:: 2024
Journal volume:: 242
Pages contribution:: 109723
Fulltext / DOI:: doi:10.1016/j.ress.2023.109723
Publisher:: Elsevier BV
E-ISSN:: 0951-8320
Date of publication:: 01.02.2024
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