Data Reduction in Proportional Hazards Models Applied to Reliability Prediction of Centrifugal Pumps

Data Reduction in Proportional Hazards Models Applied to Reliability Prediction of Centrifugal Pumps

This paper presents the use of proportional hazards regression models for predicting the Mean Time Between Failures (MTBF) of centrifugal pumps in the oil and gas industry. To that end, a dataset collected over 8 years including both design and operational variables from 675 pumps in an oil refinery...

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Bibliographic Details
Main Authors: Marc Vila Forteza, Diego Galar, Uday Kumar, Kai Goebel
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Machines
Subjects:
centrifugal pumps
MTBF
API standard
reliability prediction
proportional hazards model
data reduction
Online Access:https://www.mdpi.com/2075-1702/13/3/215
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