Selection of time-to-failure model for computerized numerical control turning center based on the assessment of trends in maintenance data
Rajkumar Bhimgonda Patil,
Basavraj S Kothavale and
Laxman Yadu Waghmode
Journal of Risk and Reliability, 2019, vol. 233, issue 2, 105-117
Abstract:
This article provides a generalized framework for selection of time-to-failure model based on the assessment of trends in failure and repair time data. This framework is based on modifications of existing frameworks and can be applied for binary as well as multi-state systems. The proposed framework is applied for reliability analysis of a computerized numerical control turning center. For analysis purpose, the failure data are collected for 50 computerized numerical control turning center over a period of 7 years for three different working conditions, that is, when machining material is steel, aluminum and cast iron. The data collected are then processed using the proposed framework and the best-fit distribution is found for the time-to-failure data. Furthermore, the reliable life and reliabilities of the different sub-systems are estimated. From the analysis, it is found that spindle system, computerized numerical control system, electrical and electronic system, hydraulic system and cooling system are found to be critical from reliability and maintainability point of view. The analysis presented here is expected to help the users and manufacturers of computerized numerical control turning center to estimate the reliability in accurate manner.
Keywords: Computerized numerical control turning center; reliability analysis; best-fit distribution; trend tests (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/1748006X18759124 (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:233:y:2019:i:2:p:105-117
DOI: 10.1177/1748006X18759124
Access Statistics for this article
More articles in Journal of Risk and Reliability
Bibliographic data for series maintained by SAGE Publications ().