@inproceedings{ace6abe7e269487194c2e3a976c490f4,
title = "Reliability modelling through deterioration prone components",
abstract = "Deterioration prone or wear components identification and technical analysis of functional loss characteristics entail a detailed analysis of the failure characteristics of components through the understanding of their failure modes and the technical characteristics of their failure patterns. Maintenance actions are then prescribed to prevent functional failures or to proactively repair the components in a bid to prevent failure(s) in the operational field. The determination of ensuing maintenance actions focusses on those actions that are vital to monitor and eradicate unreliable conditions on the components under consideration. Deterioration prone machinery components afford maintenance practitioners with the openings to improve physical assets reliability, and this study was embarked on to explore reliability amelioration prospects that are availed through identified components deterioration.",
keywords = "Deterioration, Functional-loss, Reliability, Wear-components",
author = "Peter Muganyi and Charles Mbohwa and Ignatio Madanhire",
note = "Publisher Copyright: {\textcopyright} IEOM Society International.; 8th International Conference on Industrial Engineering and Operations Management, IEOM 2018 ; Conference date: 06-03-2018 Through 08-03-2018",
year = "2018",
language = "English",
isbn = "9781532359446",
series = "Proceedings of the International Conference on Industrial Engineering and Operations Management",
publisher = "IEOM Society",
pages = "3371--3382",
booktitle = "Proceedings of the International Conference on Industrial Engineering and Operations Management, IEOM 2018",
}