Survival Regression for Cost-Optimal Maintenance of Wearing-Parts under Various Operating Conditions

date:

Tuesday, October 4, 2022

Time:

4:27 pm

Summary:

Estimating lifetime of a machine or a wearing-part in a complex machine is a requirement in cost-optimal maintenance planning to reduce costly downtime or avoid too frequent maintenance. Regression models mapping features to the time-to-failure are not suited in the real world because of censored data. This talk shows how survival regressions can be utilized for a maintenance planning application. We discuss and demonstrate available survival analysis tools, their strengths and limitations.

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