Artificial Intelligence-Driven Prognostics and Health Management for Centrifugal Pumps: A Comprehensive Review

This comprehensive review explores data-driven methodologies that facilitate the prognostics and health management (PHM) of centrifugal pumps (CPs) while utilizing both vibration and non-vibration sensor data. This review investigates common fault types in CPs, while placing a specific emphasis on a...

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Bibliographic Details
Published in:Actuators
Main Authors: Salman Khalid, Soo-Ho Jo, Syed Yaseen Shah, Joon Ha Jung, Heung Soo Kim
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Subjects:
centrifugal pumps (CPs)
fault diagnosis
prognostics
artificial intelligence
machine learning
deep learning
Online Access:https://www.mdpi.com/2076-0825/13/12/514

Internet

https://www.mdpi.com/2076-0825/13/12/514

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