Data visualization for reliability analysis of repairable systems
Metadatos
Mostrar el registro completo del ítemAutor
Gámiz Pérez, María Luz; López Montoya, Antonio Jesús; Martínez Miranda, María Dolores; Raya- Miranda, R.Editorial
WILEY
Materia
Bootstrap Kernel smoothing NHPP rate ROCOF SiZer
Fecha
2019Referencia bibliográfica
Gámiz, M. L., López‐Montoya, A. J., Martínez‐Miranda, M. D., & Raya‐Miranda, R. (2019). Data visualization for reliability analysis of repairable systems. Quality and Reliability Engineering International, 35(1), 99-115.
Patrocinador
Departamento de Estadística e Investigación Operativa de la Universidad de GranadaResumen
The objective of this paper is to find out possible patterns of failure occurrences
in a repairable system. We develop a graphical exploratory tool and perform
visual inference considering non-parametric local linear kernel estimators for
the rate of occurrence of failures (ROCOF) and its first derivative. The shape
characteristics of the ROCOF function are distinguished from those which are
merely an artefact of the sampling variability of the data through the construction
of confidence intervals for the first derivative. The proposal is illustrated
with several real data sets, and its performance is evaluated through an extensive
simulation study.