Adopting New Machine Learning Approaches on Cox’s Partial Likelihood Parameter Estimation for Predictive Maintenance Decisions

Adopting New Machine Learning Approaches on Cox’s Partial Likelihood Parameter Estimation for Predictive Maintenance Decisions

The Proportional Hazards Model (PHM) under a Condition-Based Maintenance (CBM) policy is used by asset-intensive industries to predict failure rate, reliability function, and maintenance decisions based on vital covariates data. Cox’s partial likelihood optimization is a method to assess the weight...

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Bibliographic Details
Main Authors: David R. Godoy, Víctor Álvarez, Rodrigo Mena, Pablo Viveros, Fredy Kristjanpoller
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Machines
Subjects:
Physical Asset Management
CBM
Weibull PHM
condition assessment
data science
gradient boosting
Online Access:https://www.mdpi.com/2075-1702/12/1/60

Internet

https://www.mdpi.com/2075-1702/12/1/60

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