STOCHASTIC ANALYSIS OF AN AIR CONDITION COOLING SYSTEM MODEL

  • Rakesh Gupta Department of Statistics, C.C.S. University, Meerut, UP
  • Punam Phartyal Department of Statistics, HNB Garhwal University, Srinagar-Garhwal, UK and Department of Statistics, C.C.S. University, Meerut, UP
  • O.K. Belwal Department of Statistics, HNB Garhwal University, Srinagar-Garhwal, UK
Keywords: Reliability, MTSF, Availability, Profit analysis, regenerative point technique

Abstract

The present study deals with the stochastic analysis of a real existing industrial system model of a central air-condition (AC) system. The system consists of three different subsystems namely- Air Blower, Compressor, water pump. All these subsystems are arranged in series network. Transition probabilities as well as the recurrence relations for various reliability and cost effective measures are developed. Failure time distributions of all the subsystems are taken as exponential whereas repair time distributions are general. By using regenerative point technique we have obtained various measures of system effectiveness such as –Reliability, MTSF, Availability, Busy period of repairman and Net expected profit. The results are also drawn in a particular case when repair time distributions are assumed as exponentials.

 

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Published
2011-11-22
Section
Articles