# Semi-parametric estimation of Brown–Proschan preventive maintenance effects and intrinsic wear-out

*Luc Doyen* ()

*Computational Statistics & Data Analysis*, 2014, vol. 77, issue C, 206-222

**Abstract:**
A system subject to corrective and preventive maintenance actions is considered. Corrective Maintenance (CM) is done at unpredictable random times and is assumed to have As Bad As Old (ABAO) effects. Preventive Maintenance (PM) is supposed to be done at deterministic predetermined times and to follow a Brown–Proschan (BP) model, i.e., each PM is As Good As New (AGAN) with probability p and ABAO with probability 1−p. In this context a semi-parametric estimation method is proposed: nonparametric estimation of the first time to failure distribution and parametric estimation of the maintenance effect p. This work is original in considering that BP effects (ABAO or AGAN) are unknown or unobserved.

**Keywords:** Reliability; Imperfect maintenance; Aging; Maintenance efficiency (search for similar items in EconPapers)

**Date:** 2014

**References:** View references in EconPapers View complete reference list from CitEc

**Citations:** View citations in EconPapers (3) Track citations by RSS feed

**Downloads:** (external link)

http://www.sciencedirect.com/science/article/pii/S0167947314000620

Full text for ScienceDirect subscribers only.

**Related works:**

This item may be available elsewhere in EconPapers: Search for items with the same title.

**Export reference:** BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text

**Persistent link:** https://EconPapers.repec.org/RePEc:eee:csdana:v:77:y:2014:i:c:p:206-222

**DOI:** 10.1016/j.csda.2014.02.022

Access Statistics for this article

Computational Statistics & Data Analysis is currently edited by *S.P. Azen*

More articles in Computational Statistics & Data Analysis from Elsevier

Bibliographic data for series maintained by Haili He ().