Abstract
The oil and gas equipment and electric actuators in particular frequently perform in various operational modes and under dynamic environmental conditions. These factors affect equipment reliability measures in a vague, uncertain way. To eliminate the ambiguity, reliability model parameters could be defined as fuzzy numbers. We suggest a technique that allows constructing fundamental fuzzy-valued performance reliability measures based on an analysis of electric actuators failure data in accordance with the amount of work, completed before the failure, instead of failure time. Also, this paper provides a computation example of fuzzy-valued reliability and hazard rate functions, assuming Kumaraswamy complementary Weibull geometric distribution as a lifetime (reliability) model for electric actuators.
Highlights
Reliability is the essential property of technical system or equipment
We assume that electric actuators operate under similar conditions if their respective numbers of cycles to failure fall into the same bin of the histogram
Informative and examined in detail performance reliability measures are essential for reliability-centered maintenance (RCM) analysis of technical systems
Summary
Series: Materials Science and Engineering 177 (2017) 012027 doi:10.1088/1757-899X/177/1/012027. Journal of Physics: Conference Series 755 (2016) 011001 doi:10.1088/1742-6596/755/1/011001. A fuzzy set approach for reliability calculation of valve controlling electric actuators
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