INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
COMPARATIVE ANALYSIS OF TWO RELIABILITY MODELS CONSISTING OF LOW PRESSURE BOILERS AS COLD STANDBY UNITS
Authors Name:
Gunjan Sharma
Unique Id:
IJSDR2303134
Published In:
Volume 8 Issue 3, March-2023
Abstract:
The progression of any industry cannot be achieved until and unless one system is compared with another system. The present paper deals with the comparative analysis of two reliability models consisting of low pressure boilers as cold standby units. First system comprises of one high pressure boiler and a standby system of two low pressure boilers while on the other hand, the second system comprises of one high pressure boiler and a cold standby system of three low pressure boilers. The cold standby unit comprising of low pressure boilers is being used to accommodate the job of main high pressure boiler and in such a case, all low pressure boilers work simultaneously under the breakdown of one high pressure boiler. The repairman is always available to repair under any breakdown and the repair is done on First-cum-First-serve basis. Various system effectiveness measures are computed and the comparative analysis is carried out using Semi Markov process and Regenerative point technique. Graphical study has also been done for the system.
Keywords:
Standby systems; Semi Markov process; Regenerative point technique.
Cite Article:
"COMPARATIVE ANALYSIS OF TWO RELIABILITY MODELS CONSISTING OF LOW PRESSURE BOILERS AS COLD STANDBY UNITS ", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 3, page no.841 - 843, March-2023, Available :http://www.ijsdr.org/papers/IJSDR2303134.pdf
Downloads:
000336256
Publication Details:
Published Paper ID: IJSDR2303134
Registration ID:204471
Published In: Volume 8 Issue 3, March-2023
DOI (Digital Object Identifier):
Page No: 841 - 843
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
Facebook Twitter Instagram LinkedIn