New approach to the modelling of motor failure data with application to the engine overhaul decision process

R Jiang

Journal of Risk and Reliability, 2011, vol. 225, issue 3, 355-363

Abstract: This paper presents a method to transform data on motor failures, that is extensively used in the literature for the benchmarking of reliability models, into the form of time-to-failure (TTF) data. A normal distribution is appropriate for modelling the TTF data. The estimated mean lives are subsequently fitted to a power-law failure point process model, and the life standard deviation after a failure can be obtained using a recursive relation. These are useful for inferring the life distribution after a future failure. The resulting model is applied to optimize the lifespan and predict the number of overhauls in a given operational interval. The approach developed in this paper is not limited to the specific case for which it is derived; it can be applied to similar problems or situations.

Keywords: motor data; failure time; time to failure; failure point process; overhaul decision (search for similar items in EconPapers)
Date: 2011
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/1748006XJRR324 (text/html)

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:sae:risrel:v:225:y:2011:i:3:p:355-363

DOI: 10.1177/1748006XJRR324

Access Statistics for this article

More articles in Journal of Risk and Reliability
Bibliographic data for series maintained by SAGE Publications ().