PURPOSE: The purpose of present paper is to compute the fuzzy reliability of the stainless steel utensil manufacturing unit for the constant failure and repair rates. The effect of variations of fuzzy reliability with time and system coverage factor for a set of failure and repair rates is also studied. METHODOLOGY/APPROACHThe mathematical model of Stainless Steel Utensil Manufacturing Unit has...

Reliability has vital significance to engineers and designers in a safety system. Consequently, failures free operation of components or sub-systems is of their key concern. To assess the reliability of such systems quantitatively, failure data of the components or sub-systems is essentially required. In general, such data is either not pre-recorded or present in linguistic form (good, bad etc)...

The finite element method is widely used for solving various problems in geotechnical engineering practice. The input parameters required for the calculations are generally imprecise. The paper is devoted to a comparison of probabilistic, stochastic and fuzzy set method for reliability analysis with respect to its applicability for practical problems in geotechnical engineering. Emphasis will b...

Abstract Reliability allocation is the key issue of reliability designing. CNC machine is a complex product. There are many influence factors of reliability allocation. A part of them cannot be accurately measured but be evaluated by the experts. Therefore it’s difficult for reliability allocation. In this paper, we consider a variety of criteria for conducting reliability allocation. A method ...

while sophisticated analytical methods like morgenstern-price or finite elementmethods are available for more realistic analysis of stability of slopes, assessment of the exactvalues of soil parameters is practically impossible. uncertainty in the soil parameters arisesfrom two different sources: scatter in data and systematic error inherent in the estimate of soilproperties. hence, stability o...

Uncertainty is inevitable in any reliability analysis of complex engineering systems due to uncertainties present in models, parameters of the model, phenomena and assumptions. Uncertainties at the component level are propagated to quantify uncertainty at the system level reliability. It is very important to identify all the uncertainties and treat them effectively to make reliability studies m...

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NGS data processing in metagenomics studies has to deal with noisy data that can contain a large amount of reading errors which are difficult to detect and account for. This work introduces a fuzzy indicator of reliability technique to facilitate solutions to this problem. It includes modified Hamming and Levenshtein distance functions that are aimed to be used as drop-in replacements in NGS an...