1. Data-driven fault diagnosis and prognosis
Diagnostic methods and failure prognosis based on equipment data are part of the panoply of tools developed over the last three decades to define avenues for improving availability for operators of industrial systems. Their implementation is essential for the development of CBM (condition-based monitoring) and PHM (prognostics and health management), and is the subject of a great deal of research and prototype applications in the industry
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Data-driven fault diagnosis and prognosis
Common methods and tools for diagnosis, prognosis and estimation of DEFAD
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