Data-driven fault diagnosis and prognosis
Data-based methods for fault diagnosis and prognosis – State of the art
Article REF: MT9134 V1
Data-driven fault diagnosis and prognosis
Data-based methods for fault diagnosis and prognosis – State of the art

Author : Gilles ZWINGELSTEIN

Publication date: August 10, 2020 | Lire en français

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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 [MT 9 570]

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