Structured Framework for Reliability of an Industrial System Using Fuzzy Approach

Mohd Salman Khan, Saurabh Jha P

Abstract: Over the years, reliability of a system is one such term that has gained importance pertaining to the industrial systems. This accounts for unforeseen circumstances that can occur to the machines at any time during the production. Hence, to prevent this, computational method is applied to determine the reliability parameters which predicts the current status of the machines. This paper tends to present the evaluation with the help of Petri Net (PN) and Fault Tree Analysis (FTA) to represent the system and analyses them with used Fuzzy Lambda-Tau technique (FLT). The structured framework provides an insight as to how the investigation is done and deduces the results. The defuzzification is performed at different spread 15 %, 25 % and 60 % of the current crisp value in the system to perform the in-depth analysis of the system. The results are then subjected to further investigation to the maintenance engineer which eventually leads to plan an appropriate maintenance policy for improving the overall performance of the production unit.

Keywords: Fault tree analysis, Petri net, Fuzzy lambda tau, ENOF, Reliability, Availability

How to Cite?: Mohd Salman Khan, Saurabh Jha P, "Structured Framework for Reliability of an Industrial System Using Fuzzy Approach", Volume 6 Issue 2, February 2017, International Journal of Science and Research (IJSR), Pages: 1520-1527, https://www.ijsr.net/getabstract.php?paperid=ART20171064, DOI: https://dx.doi.org/10.21275/ART20171064