Probabilistic Analysis of an Evaporator of a Desalination Plant with Inspection

0*, N. PADMAVATHI**, G. Taneja***
*-** Department of Mathematics and Statistics, Caledonian College of Engineering, Sultanate of Oman.
*** Department of Mathematics, M D University, Rohtak, India.
Periodicity:January - March'2013
DOI : https://doi.org/10.26634/jmat.2.1.2161

Abstract

The paper presents a probabilistic analysis of an evaporator of a desalination plant. Multi stage flash desalination process is being used for water purification. The desalination plant operates round the clock and many evaporators are in operation for water production. Any major failure/annual maintenance brings the evaporator to a complete halt and stops the production from that evaporator. The evaporator fails due to any one of the six types of failure. An inspection is carried out to detect the type of failure. For the present analysis, seven years maintenance data of a desalination plant has been extracted from the operations and maintenance record of the plant in Oman. An extensive probabilistic analysis of the plant is carried out and the measures of evaporator effectiveness such as mean time to evaporator failure, availability, the expected number of major, minor repairs, replacements, services, and the overall profitability incurred to the evaporator are estimated numerically. The semi-Markov processes and regenerative point techniques are used in the analysis.

Keywords

Desalination plant, failures, repairs, Semi – Markov, regenerative processes

How to Cite this Article?

Rizwan, S.M., Padmavathi, N., and Taneja, G. (2013). Probabilistic Analysis of an Evaporator of A Desalination Plant with Inspection. i-manager’s Journal on Mathematics, 2(1), 27-34. https://doi.org/10.26634/jmat.2.1.2161

References

[1]. Attahiru Sule, W. L. Alfa and Y. Q. Zhao. (1998). Stochastic analysis of a repairable system with three units and repair facilities. Microelectron Reliab, 38(4), 585–595.
[2]. Bhupender Parashar and Gulshan Taneja. (2007). Reliability and profit evaluation of a PLC hot standby system based on a master-slave concept and two types of repair facilities. IEEE Transactions on reliability, 56(3), 534-539.
[3]. G Taneja, D. V. Singh and Amit Minocha. (2007). Profit evaluation of a 2-out of-3 units system for an ash handling plant wherein situation of system failure did not arise, Journal of information and optimization sciences, 28(2), 195 -204.
[4]. S. M. Rizwan, V. Khurana, and G. Taneja. (2010). Reliability Analysis of a hot standby industrial system, International Journal of modeling and Simulation, 30(3), 315-322.
[5]. S. B. Munoli and M. D. Suranagi. (2010). Reliability Prediction in Fatal and Non-Fatal Shock Model, Aryabhatta J. of Mathematics & Informatics, 2(2), 255-260.
[6]. S. M. Rizwan, N. Padmavathi, G. Taneja, A. G. Mathew and Ali Mohammed Al-Balushi. (2010). Probabilistic analysis of a desalination unit with nine failure categories. Proceedings of World Congress on Engineering 2010, IAENG International Conference of Applied Mathematics (1877-1880). Imperial College London, UK.
If you have access to this article please login to view the article or kindly login to purchase the article

Purchase Instant Access

Single Article

North Americas,UK,
Middle East,Europe
India Rest of world
USD EUR INR USD-ROW
Pdf 35 35 200 20
Online 35 35 200 15
Pdf & Online 35 35 400 25

Options for accessing this content:
  • If you would like institutional access to this content, please recommend the title to your librarian.
    Library Recommendation Form
  • If you already have i-manager's user account: Login above and proceed to purchase the article.
  • New Users: Please register, then proceed to purchase the article.