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Paper Details

Paper Title
Application of Reliability, Availability, Maintainability (RAM) study, on Compressors Facility
Abstract
The industry has continuously increased its needs with high intricacy of technological systems and the higher effectiveness of markets, has compelled providers to implement acceptable strategies for these systems in order to improve their availability and productivity to meet those more demanding criteria. In this context, the complex of RAM factors constitute a strategic approach for integrating reliability, availability and maintainability, by using methods, tools and engineering techniques (Mean Time to Failure, Equipment down Time and System Availability values) to identify and quantify equipment and system failures that prevent the achievement of the productive objectives. The application of such methodologies requires a deep experience and know-how together with the possibility of acquiring and processing data in operating conditions. This paper presents the most relevant aspects and findings of a study conducted for assessing the operational performance of a Compressor package installed and used in the oil and gas industries. The study was based on the simulation method that is used to simulate the performance of an installation. First the design of the installation is transferred into a Reliability Block Diagram (RBD). Component failure data, together with RBDs forms the basis input of the AVSim software that employs Monte Carlo simulation to calculate the system reliability and availability. The effect of changes in the configuration of an installation on the availability and reliability of the installation can be made visible. This makes it possible to optimize an installation already in the design phase. In this study, three criteria called reliability, availability and maintainability (RAM) of the compressor facility have been employed to compare to future maintenance strategies.
KeyWord
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Others Details
Paper Id : 83313
Author Name : Saravanan Boopathy
Co-Author Name(s) : Dr. Nihal Anwar SiddiquiAbhinav Srivastava
Volume/Issue No : Volume 05 Issue 02
Page No : 19-22
DOI Number : DOI:10.21090/IJAERD.83313
Publication Date : 2018-02-07
License : This work is licensed under a Creative Commons Attribution 4.0 International License.
website : http://www.ijaerd.com/index.php
Impact Factor : 4.72, SJIF-2016
ISSN Details : eISSN: 2348-4470, pISSN:2348-6406