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This book provides both the assessment of repairable
system reliability using the proportional intensity
models and a thorough evaluation on the model
performance for a set of special engineering
applications, including right-censoring severity,
life cycles with substantial overhaul (dormancy)
intervals, and multiple failure types (major and
minor). Compared to the extensive literature on
application of the Cox-based PI regression models in
the biostatistics field, there has been a small but
growing body of literature reported for reliability
engineering applications. The robustness study
simulates recurrent failure data, and provides a
thorough examination across a relevant range of
sample size, shape parameter, and censoring severity
values. Cox-based proportional intensity models
include PWP-GT, PWP-TT, AG, and WLW models. The
results are beneficial to practitioners in
anticipating the more favorable applications domains
and selecting appropriate PI models.
system reliability using the proportional intensity
models and a thorough evaluation on the model
performance for a set of special engineering
applications, including right-censoring severity,
life cycles with substantial overhaul (dormancy)
intervals, and multiple failure types (major and
minor). Compared to the extensive literature on
application of the Cox-based PI regression models in
the biostatistics field, there has been a small but
growing body of literature reported for reliability
engineering applications. The robustness study
simulates recurrent failure data, and provides a
thorough examination across a relevant range of
sample size, shape parameter, and censoring severity
values. Cox-based proportional intensity models
include PWP-GT, PWP-TT, AG, and WLW models. The
results are beneficial to practitioners in
anticipating the more favorable applications domains
and selecting appropriate PI models.