¹Universidad Nacional de Colombia, Facultad de Ciencias, Escuela de Estadística, Medellín, Colombia. Profesor Asistente. Email: cmlopera@unal.edu.co
²Universidad Nacional de Colombia, Facultad de Minas, Escuela de Ingeniería de la Organización, Medellín, Colombia. Profesor Asistente. Email: ecmanota@unal.edu.co

Los datos recurrentes surgen cuando una unidad (o un grupo de tales unidades) es monitoreada a través del tiempo y un evento particular (o grupo de eventos) ocurre en varios puntos del periodo de observación, por ejemplo, los tiempos de episodios recurrentes de una enfermedad en pacientes o los tiempos de reparación de un producto manufacturado. Muchos sistemas, subsistemas y componentes (que genéricamente son denominadas "unidades") tienen asociadas más de una causa o modo de falla. En algunas aplicaciones, y para ciertos propósitos, es importante distinguir entre las causas o modos de falla. Para mejorar la confiabilidad, es esencial identificar la causa de falla hasta el nivel de componente, y en muchas aplicaciones, hasta la causa física real de una falla. En este trabajo, se presenta una aplicación del análisis de datos recurrentes realizado sobre interruptores tipo FL245 (unidades reparables en Interconexión Eléctrica S.A., ISA), que incluye el uso de métodos estadísticos no paramétricos y paramétricos considerando varios modos de falla.

Palabras clave: confiabilidad, cópula, identificabilidad, riesgos competitivos.

Recurrent data arise when a unit (or group of such units) is monitored over time and a particular event (or group of events) occurs at several points of the observation period, for example, times of recurrent episodes of a disease in patients or times of repair of a manufactured product. Many systems, subsystems, and components (which we generically refer to as "units") have more than one cause of failure. In some applications and for some purposes it is important to distinguish between the different failure causes (sometimes referred to as "failure modes"). For purposes of improving reliability, it is essential to identify the cause of failure up to the component level and, in many applications, up to the actual physical cause of failure. This paper presents an application of the recurrent data analysis performed on type FL245 switches (repairable units of Interconexión Eléctrica S.A., ISA), that includes the use of non-parametric and parametric statistical methods, considering several failure modes.

Key words: Competing risks, Copula, Identifiability, Reliability.

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