Survival probability Predictions From Incomplete Field Data

摘要

This paper presents a method for survival probability prediction for mechanical equipment from incomplete field data. Prediction is made using a maximum likelihood type estimator, developed from a generalisation of Suzuki's approach and using censoring process information. A practical case study of warranty survival predictions for an air compressor unit illustrates the usefulness of the method.