UGC Approved Journal no 63975(19)

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Published in:

Volume 5 Issue 12
December-2018
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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JETIR1812B48


Registration ID:
194368

Page Number

366-370

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Title

Methods of Reliability Prediction for Heavy Earth Moving Machineries in Surface Mine: A Review

Abstract

Now a day, achieving the good production and productivity target is one the major challenge for mining industries and also in order to remain competitive in the global market. Such as it entails proper performance measurement of huge and capital-intensive equipment completely based on reliability, availability and maintainability of the equipment through the mining industrial automation. Reliability is one of the most efficient and important to study safe operation probability and to find the failure rate of the critical part in heavy earth moving machinery. In the present paper, the aim is reviewing the basic concepts to reliability analysis of any component and methods of reliability prediction. And also the intent of this reviewed paper is to provide the understanding of Mean time between failures (MTBF), Mean time to failure (MTTF), Mean time to repair (MTTR) and also life cycle prediction of the component.

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"Methods of Reliability Prediction for Heavy Earth Moving Machineries in Surface Mine: A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 12, page no.366-370, December-2018, Available :http://www.jetir.org/papers/JETIR1812B48.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Methods of Reliability Prediction for Heavy Earth Moving Machineries in Surface Mine: A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp366-370, December-2018, Available at : http://www.jetir.org/papers/JETIR1812B48.pdf

Publication Details

Published Paper ID: JETIR1812B48
Registration ID: 194368
Published In: Volume 5 | Issue 12 | Year December-2018
DOI (Digital Object Identifier):
Page No: 366-370
Country: Mangalore, Karnataka, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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