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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Published Paper ID:
JETIRDZ06081


Registration ID:
233616

Page Number

627-636

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Title

Performance Analysis of MIXTURE GRINDER : A Markovian Approach

Abstract

The main aim of this paper is to analyze the performance of the mixture grinder. Mixture grinder is a very important appliance whichis used in every household. Authors developed the model of the grinder by taking the main components of the grinder into their consideration. Failure and repair rates are assumed to be constants. With the help of transition state diagram, chapman Kolmogorov differential equations are developed. Laplace transformation is used for solving the differential equation. Grinder main performance indicator like Reliability, MTTF, are determined explicitly. Sensitivity analysis is also performed for MTTF and Reliability.

Key Words

Mixture grinder, Laplace transformation, Availability, Reliability

Cite This Article

"Performance Analysis of MIXTURE GRINDER : A Markovian Approach", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 12, page no.627-636, December 2018, Available :http://www.jetir.org/papers/JETIRDZ06081.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

"Performance Analysis of MIXTURE GRINDER : A Markovian Approach", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp627-636, December 2018, Available at : http://www.jetir.org/papers/JETIRDZ06081.pdf

Publication Details

Published Paper ID: JETIRDZ06081
Registration ID: 233616
Published In: Volume 5 | Issue 12 | Year December-2018
DOI (Digital Object Identifier):
Page No: 627-636
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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