A Prognostic Framework for Rotating Machines Considering Multi-Component Fault Scenarios

The importance of preventing failures in rotating machines has led to extensive research on diagnosis and prognosis methods based on vibration data. To achieve a high generalizability for these solutions, they need to handle high discrepancies between the data used for developing the method and the...

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Bibliographic Details
Main Authors: Adam Lycksam, Mattias O'Nils, Faisal Z. Qureshi
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/11009174/
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