Start Submission Become a Reviewer

Reading: General Repair Models for Maintained Systems

Download

A- A+
dyslexia friendly

Articles

General Repair Models for Maintained Systems

Authors:

A Syamsundar ,

Visakhapatnam Steel Plant, Visakhapatnam, IN
X close

K Mualidharan,

Department of Statistics, Faculty of Science, Maharajah Sayajirao University of Baroda, IN
X close

VNA Naikan

Department of Industrial Engineering and Management, Indian Institute of Technology, Kharagpur, IN
X close

Abstract

Any system when put on operation deteriorates over a period of time and fails on crossing a threshold. Maintenance is performed either on failure or for mitigating the effects of this deterioration. In general the system is either partially maintained or renewed to bring it back to its operating state. The general behaviour of the failure process of a maintained system is modelled by means of stochastic processes called general repair processes. In these processes the effect of the maintenance carried out on the system is captured by means of a variable called the maintenance indicator which indicates the degree to which the system has been maintained. Such a maintenance indicator acting on the system’s failure age or intensity post maintenance generalizes the modelling of the failure processes. The general repair process models based on the type of the maintenance indicator can be broadly classified into two categories based on age or intensity loss or recovery and two sub-categories based on whether these take place additively or multiplicatively. This paper focuses on such models, their inference, their uses, the physical reality they depict and their shortcomings when modelling the failure processes of maintained systems.

DOI: http://dx.doi.org/10.4038/sljastats.v12i0.4971

Sri Lankan Journal of Applied Statistics Vol.12 2011 pp.117-143

How to Cite: Syamsundar, A., Mualidharan, K. & Naikan, V., (2012). General Repair Models for Maintained Systems. Sri Lankan Journal of Applied Statistics. 12, pp.117–143. DOI: http://doi.org/10.4038/sljastats.v12i0.4971
Published on 02 Dec 2012.
Peer Reviewed

Downloads

  • PDF (EN)

    comments powered by Disqus